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Oleksii M., DevOps/Excel Engineer

Chernihiv, Ukraine
Last Updated: 24 Nov 2023

- Experienced software engineer with a strong background in computer science and a Bachelor's degree in Computer Science from Chernihiv National University of Technology. - Proficient in AWS Quicksight and XSLT - Skilled in DevOps practices, with hands-on experience in developing and implementing DevOps pipelines, strategies, and infrastructure on AWS using tools like Terraform. - Demonstrated expertise in CI/CD with Git, Jenkins, Ansible, Kubernetes, and Docker, with a focus on automation and rapid application deployment. - Certified AWS Solutions Architect - Associate, showcasing a deep understanding of cloud architecture and solutions. - Proven track record of successfully completing real-time DevOps projects and delivering high-quality software solutions. - Strong problem-solving and analytical skills, with the ability to effectively collaborate with cross-functional teams and adapt to evolving technologies and methodologies. - Upper-Intermediate English

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Amazon Web Services (AWS)   2 yr.


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Microsoft Excel

Microsoft Excel

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Ali R., Tableau Engineer

Last Updated: 5 Apr 2024
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- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

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Tableau   7 yr.

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Barbara Z., Tableau Engineer

Marseille, France
Last Updated: 15 Mar 2024
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- 4 years of commercial experience with Tableau - Analyzed and reported on US real estate data using Tableau, assisting clients in informed decision-making for property acquisition - Employed data-driven techniques at KPMG to assess data quality, develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals - Upper-Intermediate English

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Tableau   4 yr.

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Olha K., Python Engineer, Data Quality, ML

Radomsko, Poland
Last Updated: 4 Jul 2023
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- 13 years of experience in IT - Proficiency in Python, Pandas. - Data quality for ICC profiles and algorithms for display color calibration - Mathematical modeling (MATLAB, Octave, Comsol, MathCad), software algorithms, numerical methods (algebra, interpolation, regression, nonlinear problems, optimization, ordinary and partial differential equations), machine learning. - Upper-Intermediate English. - Available in two weeks

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Maria Z., BI Engineer

Last Updated: 4 Jul 2023

• Business Intelligence/Data Analysis/Visualization • PowerBI, Google Data Studio, Tableau. • Has hands-on experience with various data sources as Cloud DBs (Snowflake), on-premise DBs (Microsoft SQL Server, Oracle, OLAP cubes), APIs (Jira, Service Now etc.) and of course text files (Excel, csv, json format). • Has a strong background in analysis and statistics, has hands-on experience using Python for data analysis. • Solid troubleshooting skills, ability and willingness to learn quickly, highly responsible person. Interested in communication with stakeholders and end-users. • Upper-Intermediate English level. • Available: ASAP • No scheduled vacations within next 3 months.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched Microsoft Excel Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new Microsoft Excel developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

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Table of Contents

Cases when Microsoft Excel does not work

  1. Large datasets: Microsoft Excel has limitations when it comes to handling large datasets. As Excel is primarily designed for small to medium-sized datasets, it may become slow, crash, or even fail to open files that contain millions of rows or complex calculations. Users who deal with extensive data should consider alternative software solutions, such as database management systems or statistical analysis tools, which are better equipped to handle large datasets efficiently.
  2. Highly complex calculations: While Excel is well-suited for basic calculations and formulas, it may struggle with highly complex calculations. Complex formulas involving multiple nested functions, conditional statements, or iterative calculations can lead to errors or slow performance in Excel. Users requiring advanced mathematical or statistical analysis may find dedicated software or programming languages like MATLAB or R more suitable for their needs.
  3. Real-time collaboration: Excel’s collaboration capabilities are limited compared to modern cloud-based productivity tools. When multiple users attempt to work on the same Excel file simultaneously, conflicts may arise, leading to data inconsistencies or loss. Online spreadsheet applications, such as Google Sheets or Microsoft’s own Excel Online, provide real-time collaboration features, allowing users to collaborate seamlessly without the risk of conflicting changes.
  4. Data integrity and security: Excel lacks robust data integrity and security features compared to dedicated database systems. When multiple users access and modify data in Excel files, there is a higher risk of accidental data corruption or unauthorized access. Organizations dealing with sensitive or critical data should consider utilizing database management systems that offer stronger data protection measures and user access controls.
  5. Data analysis and visualization limitations: While Excel provides basic data analysis and visualization tools, it may fall short for more advanced analytical tasks. For instance, Excel’s built-in charts and graphs may lack customization options or advanced statistical analysis capabilities. Users requiring sophisticated data analysis and visualization should explore alternatives like Tableau, Power BI, or programming languages like Python with libraries such as Pandas and Matplotlib.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssisting in the development of software applications, writing code based on detailed design specifications, debugging and troubleshooting code, collaborating with team members to deliver software projects$50,000 – $70,000
Middle2-5 yearsDesigning and implementing software solutions, participating in code reviews, optimizing and improving existing code, collaborating with cross-functional teams to gather requirements and deliver high-quality software$70,000 – $90,000
Senior5-10 yearsLeading software development projects, mentoring junior developers, designing and architecting complex software systems, conducting code reviews and ensuring adherence to coding standards, collaborating with stakeholders to define project requirements and objectives$90,000 – $120,000
Expert/Team Lead10+ yearsProviding technical leadership and guidance to the development team, driving innovation and best practices, overseeing the full software development lifecycle, managing project timelines and resources, collaborating with stakeholders to align business goals with technology solutions$120,000 – $150,000+

Pros & cons of Microsoft Excel

7 Pros of Microsoft Excel

  • 1. Data Analysis: Microsoft Excel is a powerful tool for data analysis, allowing users to organize and manipulate large amounts of data efficiently. With features like pivot tables, sorting, filtering, and formulas, Excel provides numerous options for analyzing and visualizing data.
  • 2. Calculation Capabilities: Excel offers a wide range of mathematical functions and formulas that enable users to perform complex calculations easily. Whether it’s simple addition or complex statistical analysis, Excel provides the necessary tools to handle various calculations.
  • 3. Data Visualization: Excel allows users to create visually appealing charts, graphs, and dashboards to represent data in a comprehensible manner. These visualizations help in understanding trends, patterns, and insights hidden within the data.
  • 4. Automation: Excel provides automation features such as macros and Visual Basic for Applications (VBA), which allow users to automate repetitive tasks and streamline workflows. This saves time and increases productivity.
  • 5. Integration with Other Tools: Excel seamlessly integrates with other Microsoft Office applications like Word and PowerPoint, making it convenient to share data and generate reports across different platforms.
  • 6. Customization: Excel offers a high level of customization, allowing users to personalize their workbooks, templates, and reports according to their specific needs. This flexibility makes it suitable for a wide range of industries and professions.
  • 7. Wide Usage and Support: Excel is widely used in various industries, including finance, marketing, human resources, and more. As a result, there is a vast amount of online resources, tutorials, and support available for users to enhance their Excel skills.

7 Cons of Microsoft Excel

  • 1. Steep Learning Curve: Although Excel is a widely used software, mastering its advanced features can be challenging for beginners. Users may require training or extensive practice to utilize Excel to its full potential.
  • 2. Limited Data Capacity: Excel has limitations when it comes to handling large datasets. It may struggle to process and analyze massive amounts of data, leading to performance issues or even crashing.
  • 3. Data Integrity Issues: Excel files are prone to data integrity issues, especially when multiple users are working on the same file simultaneously. This can result in data discrepancies, version control problems, and errors.
  • 4. Lack of Collaboration Features: While Excel allows multiple users to work on a file, the collaboration features are limited compared to dedicated collaboration tools. Real-time collaboration and document control can be challenging in Excel.
  • 5. Security Concerns: Excel files may pose security risks if not handled properly. Password protection and access controls are available, but they may not provide the same level of security as specialized data management systems.
  • 6. Limited Data Connectivity: Excel’s connectivity with external data sources can be limited. Importing and exporting data from databases or other software systems may require additional steps or manual intervention.
  • 7. Version Compatibility Issues: Different versions of Excel may have compatibility issues when sharing files. Features and functions may not work as expected, leading to inconsistencies in data analysis and reporting.

Soft skills of a Microsoft Excel Developer

Soft skills are essential for a Microsoft Excel Developer as they complement their technical expertise and contribute to their overall success in the role. These skills enable them to effectively communicate, collaborate, and problem-solve, making them invaluable members of any team.


  • Attention to Detail: Demonstrating meticulousness and accuracy when working with Excel spreadsheets, ensuring data integrity and minimizing errors.
  • Time Management: Efficiently managing workload and prioritizing tasks to meet deadlines and deliver quality work.
  • Adaptability: Quickly adapting to new processes, tools, and technologies, as well as being open to feedback and learning opportunities.
  • Communication: Effectively conveying ideas and information to colleagues and stakeholders, both verbally and in writing.
  • Problem Solving: Identifying and resolving minor issues or errors within Excel spreadsheets, seeking assistance when needed.


  • Data Analysis: Utilizing Excel’s advanced features for data analysis, including pivot tables, macros, and functions, to extract meaningful insights.
  • Collaboration: Working collaboratively with team members and stakeholders to gather requirements, share knowledge, and drive project success.
  • Critical Thinking: Applying logical reasoning and analytical skills to identify trends, patterns, and anomalies within data sets.
  • Project Management: Demonstrating the ability to manage multiple Excel projects simultaneously, ensuring timely completion and quality deliverables.
  • Leadership: Taking ownership of assigned tasks, providing guidance to junior developers, and contributing to the team’s growth and success.
  • Presentation Skills: Delivering clear and concise presentations of Excel-based insights to non-technical stakeholders.
  • Quality Assurance: Conducting thorough testing and quality checks on Excel spreadsheets to ensure accuracy and reliability.


  • Advanced Excel Functions: Proficiently using complex formulas, array functions, and advanced Excel features to solve complex problems.
  • Strategic Thinking: Evaluating business requirements and leveraging Excel’s capabilities to develop innovative solutions and drive organizational growth.
  • Mentoring: Providing guidance, support, and mentorship to junior and middle-level Excel developers, fostering their professional development.
  • Data Visualization: Creating visually appealing and informative charts, graphs, and dashboards to present data-driven insights effectively.
  • Process Improvement: Identifying areas for improvement in existing Excel processes, implementing enhancements, and driving efficiency gains.
  • Client Management: Building and maintaining strong relationships with clients, understanding their needs, and delivering tailored Excel solutions.
  • Risk Management: Assessing and mitigating potential risks associated with Excel projects, ensuring data security and compliance.
  • Innovation: Staying up-to-date with the latest Excel trends and exploring new tools and techniques to enhance productivity and effectiveness.

Expert/Team Lead

  • Strategic Planning: Developing long-term Excel strategies aligned with organizational goals and driving their successful implementation.
  • Team Management: Leading and motivating a team of Excel developers, assigning tasks, providing feedback, and fostering a collaborative environment.
  • Business Acumen: Understanding the broader business context and utilizing Excel to provide insights that inform decision-making at the executive level.
  • Vendor Management: Collaborating with external vendors and managing relationships to ensure the successful delivery of Excel-related projects.
  • Change Management: Effectively managing and communicating changes in Excel processes or tools to the team and stakeholders.
  • Training and Development: Identifying training needs, delivering Excel training programs, and nurturing the professional growth of team members.
  • Project Coordination: Overseeing complex Excel projects, coordinating resources, managing timelines, and ensuring successful project execution.
  • Strategic Partnerships: Collaborating with cross-functional teams and stakeholders to identify opportunities for Excel integration and optimization.
  • Continuous Improvement: Driving a culture of continuous improvement, encouraging innovation, and implementing best practices within the Excel development team.
  • Conflict Resolution: Resolving conflicts and addressing interpersonal issues within the team, promoting a harmonious and productive work environment.
  • Executive Reporting: Creating comprehensive reports and presentations for senior management, showcasing the impact and value of Excel solutions.

How and where is Microsoft Excel used?

Case NameCase Description
Financial AnalysisMicrosoft Excel is widely used for financial analysis due to its ability to handle large amounts of data, perform complex calculations, and create visualizations. It enables professionals to analyze financial statements, calculate ratios, perform forecasting, and create models for investment analysis.
Data ManagementExcel is a powerful tool for managing and organizing data. It allows users to create databases, sort and filter data, perform data validation, and create reports. It can be used to track inventory, manage customer information, and analyze sales data.
Project PlanningExcel provides features that make it suitable for project planning and management. It can be used to create Gantt charts, track project progress, allocate resources, and calculate project costs. It enables project managers to visualize timelines, monitor task dependencies, and analyze project performance.
Data Analysis and VisualizationExcel offers a wide range of tools for data analysis and visualization. It includes functions for statistical analysis, data mining, and creating charts and graphs. Users can perform data cleansing, identify trends, and present findings in a visually appealing manner.
Budgeting and ForecastingExcel is commonly used for budgeting and forecasting purposes. It allows users to create budget templates, track expenses, calculate variances, and generate financial forecasts. It provides the flexibility to adjust assumptions and perform scenario analysis, enabling organizations to make informed financial decisions.
Inventory ManagementExcel can be utilized for inventory management tasks such as tracking stock levels, monitoring product movement, and managing reorder points. It enables businesses to optimize inventory levels, identify stock shortages, and generate inventory reports for better decision-making.
Data Entry and AnalysisExcel is often used for data entry and analysis tasks across various industries. It allows users to input data in a structured format, perform calculations, and generate reports. It provides data validation features to ensure data accuracy and offers tools for data cleansing and transformation.

What are top Microsoft Excel instruments and tools?

  • Conditional Formatting: Conditional Formatting in Excel allows you to apply different formatting styles to cells based on specific conditions. It was introduced in Excel 97 and has since become a widely used tool for data visualization and analysis.
  • Data Validation: Data Validation enables you to set up rules and restrictions for the data entered into a cell or range of cells. It was first introduced in Excel 95 and has been an essential tool for maintaining data integrity and accuracy.
  • PivotTables: PivotTables are powerful data summarization tools that allow you to analyze large datasets and extract meaningful insights. Introduced in Excel 5.0 in 1993, PivotTables have revolutionized data analysis and reporting in Excel.
  • Charts and Graphs: Excel offers a wide range of chart types and customization options, making it a go-to tool for visualizing data. From basic line and bar charts to advanced scatter plots and heatmaps, Excel’s charting capabilities have evolved significantly since its initial release in 1985.
  • VLOOKUP: VLOOKUP is a popular function in Excel that allows you to search for a value in a table and return a corresponding value from a different column. It has been a staple tool for data manipulation and analysis since its introduction in Excel 1.0.
  • Solver: Solver is an Excel add-in that helps you find optimal solutions for complex optimization problems. It was initially introduced as an add-in for Excel 3.0 and has since been widely used in various fields such as finance, operations research, and engineering.
  • Power Query: Power Query is a data transformation and shaping tool that allows you to import, manipulate, and analyze data from various sources. It was first released as an add-in for Excel 2010 and has since become an integral part of Excel’s data analysis capabilities.
  • Power Pivot: Power Pivot is an Excel add-in that enables you to create and manage data models, perform advanced calculations, and build interactive reports. It was introduced in Excel 2010 and has been a game-changer for users working with large datasets and complex data analysis.
  • Goal Seek: Goal Seek is a built-in Excel tool that helps you find the input value needed to achieve a specific goal or target. It has been available since Excel 4.0 and is commonly used for what-if analysis and scenario planning.
  • Macros: Macros in Excel allow you to automate repetitive tasks by recording a series of actions and playing them back. Macros were introduced in Excel 5.0 and have been widely used for automating data cleaning, formatting, and reporting processes.

Hard skills of a Microsoft Excel Developer

As a Microsoft Excel Developer, having a strong set of hard skills is crucial for success in the field. These skills vary depending on the level of expertise and experience. Here is an overview of the hard skills required for different levels of Excel development:


  • Data entry and manipulation: Proficiency in entering and organizing data, performing basic calculations, and using formulas and functions.
  • Data visualization: Ability to create simple charts and graphs to visually represent data.
  • Conditional formatting: Knowledge of applying conditional formatting to highlight specific data based on given criteria.
  • Basic macros: Understanding of recording and running simple macros to automate repetitive tasks.
  • Data validation: Familiarity with setting up data validation rules to ensure data integrity.


  • Advanced formulas and functions: Mastery of complex formulas and functions, including nested formulas, lookup functions, and logical operators.
  • Pivot tables: Proficiency in creating and manipulating pivot tables to analyze and summarize large sets of data.
  • Data analysis: Ability to perform advanced data analysis using tools such as goal seek, solver, and scenario manager.
  • Visual Basic for Applications (VBA): Knowledge of VBA programming language to create custom macros and automate Excel processes.
  • Data connections: Understanding of establishing connections to external data sources, such as databases or web APIs.
  • Dashboard creation: Skill in designing interactive dashboards to present data visually and facilitate decision-making.
  • Power Query: Familiarity with using Power Query to import, transform, and clean data from various sources.


  • Advanced VBA programming: Expertise in writing complex VBA code to develop custom solutions and automate intricate Excel tasks.
  • Advanced data modeling: Proficiency in creating and managing data models using tools like Power Pivot, Power Query, and DAX.
  • Advanced data visualization: Ability to design sophisticated and interactive charts, graphs, and reports.
  • Performance optimization: Knowledge of optimizing Excel files for improved speed and efficiency.
  • Collaboration and sharing: Understanding of Excel’s collaboration features, including sharing workbooks, tracking changes, and merging data.
  • Error handling and debugging: Skill in identifying and resolving errors in Excel formulas, macros, and VBA code.
  • Automation and integration: Ability to integrate Excel with other applications and automate processes using tools like Microsoft Flow or Power Automate.

Expert/Team Lead

  • Advanced data analysis: Proficiency in advanced statistical analysis, forecasting, and modeling techniques using Excel’s advanced tools.
  • Project management: Knowledge of managing Excel development projects, coordinating teams, and ensuring timely delivery.
  • Data security and privacy: Understanding of Excel’s security features, including password protection, data encryption, and access control.
  • Advanced data visualization techniques: Mastery of advanced charting techniques, interactive dashboards, and dynamic reports.
  • Advanced Excel functions: Expertise in using complex functions like array formulas, database functions, and financial functions.
  • Data automation and integration: Ability to integrate Excel with other systems and automate data workflows using APIs or custom integrations.
  • Training and mentoring: Skill in training and mentoring junior Excel developers, providing guidance, and sharing best practices.
  • Continuous improvement: Proven track record of staying updated with the latest Excel features, trends, and industry best practices.
  • Business acumen: Understanding of business requirements and translating them into effective Excel solutions that drive business outcomes.
  • Leadership and communication: Strong leadership skills and effective communication to lead teams, collaborate with stakeholders, and present findings.
  • Problem-solving and troubleshooting: Ability to identify and resolve complex Excel-related issues, troubleshoot errors, and optimize solutions.

TOP 12 Facts about Microsoft Excel

  • Microsoft Excel is a powerful spreadsheet software developed by Microsoft.
  • It was first released for Macintosh in 1985 and then for Windows in 1987.
  • Excel is widely used in various industries such as finance, accounting, marketing, and data analysis.
  • It supports over 1 million rows and 16,000 columns per worksheet, providing immense data storage capacity.
  • Excel offers a wide range of functions and formulas for performing complex calculations and data analysis.
  • Conditional formatting in Excel allows users to highlight cells based on specific criteria, making data visualization easier.
  • PivotTables in Excel enable users to summarize and analyze large datasets quickly.
  • Excel provides a variety of chart types, including column, line, pie, and scatter plots, to represent data visually.
  • The ‘VLOOKUP’ function in Excel allows users to search for a value in a specified range and retrieve data from a different column.
  • Excel supports the creation of macros, which are automated sequences of commands that can perform repetitive tasks.
  • It has advanced data analysis features such as regression analysis, goal seek, and solver, which help users make informed decisions.
  • Excel is compatible with other Microsoft Office applications, making it easy to integrate data from Word, PowerPoint, and Outlook.

TOP 10 Microsoft Excel Related Technologies

  • Visual Basic for Applications (VBA)

    VBA is the most popular programming language used for Microsoft Excel software development. It allows developers to automate repetitive tasks, create custom functions, and build interactive user interfaces. VBA is built into Excel, making it easy to write and execute code directly within the application. With a vast library of built-in functions and extensive documentation, VBA is a powerful tool for Excel development.

  • .NET Framework

    The .NET Framework is a powerful development platform for building a wide range of applications, including Excel add-ins and solutions. With .NET, developers can leverage languages like C# or Visual Basic.NET to extend Excel’s functionality, create custom features, and integrate with other systems. The .NET Framework provides a rich set of APIs and libraries, making it easier to develop robust and scalable Excel solutions.

  • JavaScript

    JavaScript is a versatile scripting language that can be used for Excel development through technologies like Office Add-ins and Web-based Excel applications. With JavaScript, developers can create interactive dashboards, automate data manipulation, and integrate Excel with web services. JavaScript’s popularity and extensive ecosystem make it an excellent choice for extending Excel’s capabilities.

  • Python

    Python is a highly popular programming language that offers a variety of libraries and frameworks for Excel development. Libraries like pandas and openpyxl provide powerful data manipulation and Excel file handling capabilities. Python’s simplicity, ease of use, and extensive community support make it a preferred choice for data analysis, automation, and Excel integration.

  • Power Query

    Power Query is a data transformation and integration tool built into Excel. With Power Query, developers can easily connect to various data sources, transform and clean data, and load it into Excel for analysis. It offers a user-friendly interface and a rich set of functions, making data preparation tasks more efficient and accessible.

  • Power Pivot

    Power Pivot is an Excel feature that enables advanced data modeling and analysis. It allows developers to create relationships between multiple tables, perform complex calculations, and build interactive data visualizations. Power Pivot extends Excel’s capabilities for handling large datasets and performing sophisticated data analysis.

  • Azure Machine Learning

    Azure Machine Learning is a cloud-based service that provides tools and infrastructure for developing machine learning models. With Excel integration, developers can leverage Azure Machine Learning to perform advanced analytics, predictive modeling, and automate complex data analysis tasks. This combination of Excel and Azure Machine Learning empowers developers to build intelligent solutions with ease.

TOP 12 Tech facts and history of creation and versions about Microsoft Excel Development

  • Microsoft Excel was developed by Microsoft and first released in September 1985 as part of the Microsoft Office suite.
  • Excel was initially created for the Apple Macintosh platform, and it was later released for Microsoft Windows in 1987.
  • The original author of Excel was Charles Simonyi, a software engineer at Microsoft, who implemented the spreadsheet program based on the concept of VisiCalc and Lotus 1-2-3.
  • Excel introduced the concept of a graphical interface for spreadsheets, making it easier for users to interact with data and perform calculations.
  • With the release of Excel 2.0 in 1987, Microsoft introduced support for macros, enabling users to automate repetitive tasks and create custom functions.
  • In 1993, Excel 5.0 introduced the Visual Basic for Applications (VBA) programming language, allowing users to create more complex macros and add-ons.
  • Excel 97, released in 1997, introduced a significant improvement in performance and added features such as pivot tables and the ability to import data from external sources.
  • Excel 2000 brought enhanced data analysis tools, including advanced statistical functions and the ability to create pivot charts.
  • Excel 2003 focused on improving security features and introduced XML support, allowing users to import and export data in XML format.
  • Excel 2007 marked a major redesign of the user interface with the introduction of the Ribbon, a new tabbed toolbar system that replaced the traditional menus and toolbars.
  • Excel 2010 introduced new features like Sparklines, Slicers, and improved collaboration tools, making it easier for users to visualize data and work together on spreadsheets.
  • The most recent version of Excel is Excel 2019, released in 2018, which includes new data analysis features, improved performance, and enhanced compatibility with cloud-based services.

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