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Oleksandr D, .NET Lead Engineer

Lviv, Ukraine
Last Updated: 4 Jul 2023

- 15+ years experience as .NET Lead Engineer. - He has experience in the successful development of products and the management of teams and companies. His core proficiency in programming languages: .Net, C#, JS, and T-SQL. Has a lot experience of with frameworks and libraries including SiteCore, .NET, EF Web, Mobile, Desktop System architecture, analytics, optimization, and DevOps. - Upper-Intermediate English. - Start ASAP

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T-SQL   15 yr.


ASP.NET   15 yr.


C#   15 yr.

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Nata L, Data Analyst with BI and Data Engineering skills (Senior Certified Tableau Engineer)

Last Updated: 23 Apr 2024
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- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 6+ years of experience with Tableau - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies - Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

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Python   6 yr.


SQL   8 yr.

Microsoft Power BI

Microsoft Power BI

Data Analysis Expressions (DAX)

Data Analysis Expressions (DAX)   4 yr.


Tableau   6 yr.

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Alex K., Data Engineer

Oradea, Romania
Last Updated: 13 Nov 2023

- Senior Data Engineer with a strong technology core background in companies focused on data collection, management, and analysis. - Proficient in SQL, NoSQL, Python, Pyspark, Oracle PL/SQL, Microsoft T-SQL, and Perl/Bash. - Experienced in working with AWS stack (Redshift, Aurora, PostgreSQL, Lambda, S3, Glue, Terraform, CodePipeline) and GCP stack (BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, Terraform, Cloud Build). - Skilled in working with RDBMS such as Oracle, MySQL, PostgreSQL, MsSQL, and DB2. - Familiar with Big Data technologies like AWS Redshift, GCP BigQuery, MongoDB, Apache Hadoop, AWS DynamoDB, and Neo4j. - Proficient in ETL tools such as Talend Data Integration, Informatica, Oracle Data Integrator (ODI), IBM Datastage, and Apache Airflow. - Experienced in using Git, Bitbucket, SVN, and Terraform for version control and infrastructure management. - Holds a Master's degree in Environmental Engineering and has several years of experience in the field. - Has worked on various projects as a data engineer, including operational data warehousing, data integration for crypto wallets/De-Fi, cloud data hub architecture, data lake migration, GDPR reporting, CRM migration, and legacy data warehouse migration. - Strong expertise in designing and developing ETL processes, performance tuning, troubleshooting, and providing technical consulting to business users. - Familiar with agile methodologies and has experience working in agile environments. - Has experience with Oracle, Microsoft SQL Server, and MongoDB databases. - Has worked in various industries including financial services, automotive, marketing, and gaming. - Advanced English - Available in 4 weeks after approval for the project

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Amazon Web Services (AWS)

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)

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Maryna F., Senior Data Analyst, Salesforce Specialist

Last Updated: 23 Apr 2024

- Highly experienced developer, team lead, and analyst focused on developing customized solutions.3 master's degrees, 15 years of experience, 4 major projects in leadership positions, and numerous Salesforce projects. - Upper-Intermediate English

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Microsoft Power BI

Microsoft Power BI

Oracle Database

Oracle Database



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Ahmed S., Data/ business analyst

Giza, Egypt
Last Updated: 23 Apr 2024

- Recent graduate with a bachelor degree in Management Information Systems, seeking an entry level job as a data/ business analyst. Passionate about finding anomalies, patterns and trends from data through my analytical skills for the purpose of helping businesses solve problems and make informed decisions, professional at coordinating and communicating with others. - Upper-Intermediate English

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FAQs about T-SQL Development

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If you urgently need a verified and qualified T-SQL developer, and resources for finding the right candidate are lacking, UPSTAFF is exactly the service you need. We approach the selection of T-SQL developers professionally, tailored precisely to your needs. From placing the call to the completion of your task by a qualified developer, only a few days will pass.

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AI tools and expert human reviewers in the vetting process are combined with a track record and historically collected feedback from clients and teammates. On average, we save over 50 hours for client teams in interviewing T-SQL candidates for each job position. We are fueled by a passion for technical expertise, drawn from our deep understanding of the industry.

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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 T-SQL 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 T-SQL developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

How does Upstaff vet remote T-SQL engineers? Arrow

Upstaff Managers conduct an introductory round with potential candidates to assess their soft skills. Additionally, the talent’s hard skills are evaluated through testing or verification by a qualified developer during a technical interview. The Upstaff Staffing Platform stores data on past and present T-SQL candidates. Upstaff managers also assess talent and facilitate rapid work and scalability, offering clients valuable insights into their talent pipeline. Additionally, we have a matching system within the platform that operates in real-time, facilitating efficient pairing of candidates with suitable positions.

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Table of Contents

What are top T-SQL instruments and tools?

  • SQL Server Management Studio (SSMS): SQL Server Management Studio is the primary tool used for managing and administering SQL Server. It provides a user-friendly interface for writing, executing, and optimizing T-SQL queries. SSMS has been around since 2005 and is widely used by database administrators and developers.
  • Visual Studio Code: Visual Studio Code is a lightweight, cross-platform code editor that supports T-SQL. It offers features like IntelliSense, which provides code suggestions and auto-completion, making it easier to write T-SQL queries. Visual Studio Code is highly customizable and has a large community of extensions, including ones specifically designed for SQL Server development.
  • SQL Server Data Tools (SSDT): SQL Server Data Tools is a development environment for building SQL Server databases and deploying them to on-premises or cloud-based instances. SSDT integrates with Visual Studio and provides a comprehensive set of tools for schema management, data modeling, and T-SQL development.
  • Azure Data Studio: Azure Data Studio is a multi-platform database tool that supports T-SQL development and administration tasks. It offers features like query editing, data exploration, and database management. Azure Data Studio is particularly well-suited for working with Azure SQL Database and other cloud-based data platforms.
  • dbForge Studio for SQL Server: dbForge Studio for SQL Server is a comprehensive IDE for SQL Server development. It provides advanced T-SQL editing capabilities, query profiling, code refactoring, and database schema comparison. dbForge Studio is known for its user-friendly interface and extensive productivity features.
  • Aqua Data Studio: Aqua Data Studio is a versatile database IDE that supports multiple database platforms, including SQL Server. It offers a rich set of tools for T-SQL development, query optimization, and database administration. Aqua Data Studio is highly regarded for its performance tuning and debugging capabilities.
  • Toad for SQL Server: Toad for SQL Server is a popular tool among SQL Server developers and administrators. It provides a range of features for T-SQL development, code analysis, and database management. Toad for SQL Server has been on the market for many years and has a loyal user base.
  • Redgate SQL Prompt: Redgate SQL Prompt is a productivity tool for writing T-SQL code. It integrates with SSMS and provides features like code completion, formatting, and refactoring. SQL Prompt helps developers write cleaner and more efficient T-SQL code by enforcing best practices and reducing manual effort.

Soft skills of a T-SQL Developer

Soft skills are essential for a T-SQL Developer as they contribute to their overall effectiveness and success in the role. These skills go beyond technical expertise and are important for collaboration, communication, and problem-solving. Here are the soft skills required for T-SQL Developers at different levels:


  • Attention to detail: Ability to carefully analyze and review code to identify and fix errors.
  • Time management: Skill to prioritize tasks and meet deadlines in a fast-paced environment.
  • Teamwork: Ability to work collaboratively with other developers and stakeholders.
  • Adaptability: Willingness to learn and adapt to new technologies and methodologies.
  • Communication: Effective verbal and written communication skills to convey technical information.


  • Problem-solving: Capacity to identify and resolve complex issues in T-SQL code.
  • Critical thinking: Skill to analyze information and make informed decisions.
  • Leadership: Ability to take ownership of projects and guide more junior team members.
  • Mentoring: Willingness to share knowledge and provide guidance to less experienced developers.
  • Collaboration: Effective teamwork and coordination with cross-functional teams.
  • Presentation skills: Ability to present technical information in a clear and concise manner.
  • Attention to performance: Understanding of performance optimization techniques for efficient database operations.


  • Strategic thinking: Capability to align T-SQL development with broader organizational goals.
  • Project management: Skill to plan, execute, and deliver projects within budget and timeline.
  • Conflict resolution: Ability to resolve conflicts and facilitate productive discussions.
  • Decision-making: Capacity to make sound decisions based on data and experience.
  • Business acumen: Understanding of business processes and ability to translate requirements into technical solutions.
  • Client management: Skill to effectively communicate and build relationships with clients or stakeholders.
  • Innovation: Ability to introduce new ideas and technologies to improve T-SQL development processes.
  • Continuous learning: Commitment to staying updated with the latest advancements in T-SQL and database technologies.

Expert/Team Lead

  • Strategic leadership: Ability to lead a team and align T-SQL development with organizational strategies.
  • Team management: Skill to mentor, motivate, and guide team members for optimal performance.
  • Project planning: Proficiency in planning and executing complex projects with multiple dependencies.
  • Collaboration with stakeholders: Effective communication and collaboration with clients, managers, and other stakeholders.
  • Technical expertise: Deep knowledge and mastery of T-SQL and related technologies.
  • Quality assurance: Responsibility for ensuring high-quality code and adherence to coding standards.
  • Risk management: Skill to identify and mitigate risks in T-SQL development projects.
  • Change management: Ability to lead and manage changes in T-SQL development processes.
  • Decision-making at a strategic level: Making informed decisions that impact the overall business.
  • Continuous improvement: Commitment to continuously improving processes and enhancing team productivity.
  • Empathy and mentorship: Ability to understand and support the professional growth of team members.

TOP 13 Tech facts and history of creation and versions about T-SQL Development

  • T-SQL (Transact-SQL) is a procedural language used for managing and manipulating relational databases.
  • It was introduced by Microsoft in 1989 as an extension to the SQL language.
  • The primary author of T-SQL is Donald D. Chamberlin, who is also one of the co-creators of SQL.
  • T-SQL is optimized for use with Microsoft SQL Server, but it is also supported by other database management systems.
  • One of the groundbreaking features of T-SQL is the ability to write stored procedures and triggers, allowing for more complex and powerful database interactions.
  • With the release of SQL Server 2005, T-SQL introduced Common Table Expressions (CTEs), which are temporary result sets that can be used within a query.
  • In 2012, Microsoft introduced the concept of columnstore indexes in T-SQL, which significantly improve the performance of analytical queries.
  • T-SQL also supports the use of window functions, which allow for advanced querying and analysis of data within a result set.
  • Another significant enhancement in T-SQL is the introduction of the TRY…CATCH construct, which simplifies error handling and exception management in database operations.
  • Microsoft regularly releases new versions of T-SQL, with each version bringing new features and improvements.
  • Some notable versions of T-SQL include SQL Server 2012, 2014, 2016, 2017, and the latest being SQL Server 2019.
  • With the release of SQL Server 2019, T-SQL gained support for big data clusters, providing seamless integration with Apache Spark and Hadoop Distributed File System (HDFS).
  • T-SQL has evolved over the years to become a powerful and versatile language for managing and manipulating relational databases, making it a popular choice among developers and database administrators.

How and where is T-SQL used?

Case NameCase Description
Data AnalysisT-SQL Development enables powerful data analysis capabilities by providing a wide range of functions and operators to manipulate and aggregate data. It allows users to perform complex calculations, filtering, sorting, and grouping of data, making it an ideal tool for performing data analysis tasks. With T-SQL, you can easily analyze large datasets, extract meaningful insights, and make data-driven decisions.
Data TransformationT-SQL Development is widely used for data transformation tasks such as data cleaning, data normalization, and data integration. It provides various built-in functions and operators to manipulate data, convert data types, and perform string operations. T-SQL’s robust syntax and query capabilities make it an efficient tool for transforming data from one format to another, ensuring data quality and consistency.
Database AdministrationT-SQL Development plays a crucial role in database administration tasks. It allows administrators to manage database objects, define security measures, and optimize database performance. T-SQL scripts can be used to create, alter, and drop database objects such as tables, views, indexes, and stored procedures. It also provides tools for managing user permissions, backups, and restores, ensuring the smooth operation and maintenance of databases.
Stored Procedure DevelopmentT-SQL Development excels in the development of stored procedures, which are pre-compiled sets of SQL statements stored in the database. Stored procedures offer several benefits, including improved performance, code reusability, and enhanced security. With T-SQL, developers can write complex logic, parameterize queries, and encapsulate business rules within stored procedures, making it easier to maintain and manage database operations.
Data ReportingT-SQL Development is often used in conjunction with reporting tools to generate dynamic and interactive reports. T-SQL queries can retrieve data from multiple tables, apply aggregations and filtering, and produce result sets that can be consumed by reporting tools. By leveraging T-SQL’s querying capabilities, developers can create customized reports, perform ad-hoc analysis, and visualize data in a meaningful way, empowering organizations with valuable insights.
Data IntegrationT-SQL Development enables seamless data integration by providing features such as bulk insert, merge, and data import/export functionalities. It allows users to efficiently load data from external sources into databases, synchronize data between different systems, and automate data transfer processes. T-SQL’s integration capabilities make it a versatile tool for managing data flows and ensuring data consistency across various applications and platforms.

TOP 10 T-SQL Related Technologies

  • T-SQL

    T-SQL (Transact-SQL) is a programming language used for managing and manipulating data in Microsoft SQL Server. It is an extension of SQL and provides additional features like variables, control flow statements, and procedural programming capabilities.

  • SQL Server Management Studio

    SQL Server Management Studio (SSMS) is a graphical tool used for managing and administering SQL Server databases. It provides a user-friendly interface for writing and executing T-SQL queries, designing database schemas, and monitoring server performance.

  • .NET Framework

    The .NET Framework is a software development platform developed by Microsoft. It provides a framework for building and running applications on Windows operating systems. T-SQL developers can leverage the .NET Framework to develop applications that interact with SQL Server databases.

  • Entity Framework

    Entity Framework is an Object-Relational Mapping (ORM) framework for .NET. It simplifies database access by providing a high-level abstraction over the underlying database. T-SQL developers can use Entity Framework to work with SQL Server databases using object-oriented principles.

  • Visual Studio

    Visual Studio is an integrated development environment (IDE) developed by Microsoft. It provides a comprehensive set of tools for building, debugging, and deploying applications. T-SQL developers can use Visual Studio to write, test, and optimize T-SQL code.

  • Git

    Git is a distributed version control system widely used in software development. It allows multiple developers to collaborate on a project, track changes, and manage source code repositories. T-SQL developers can use Git to version control their T-SQL scripts.

  • PowerShell

    PowerShell is a task automation and configuration management framework developed by Microsoft. It provides a command-line shell and scripting language that can be used to automate various tasks, including T-SQL script execution and database administration.

Pros & cons of T-SQL

9 Pros of T-SQL

  • Efficient Performance: T-SQL is optimized for querying and managing data in Microsoft SQL Server, making it highly efficient for handling large databases.
  • Powerful Querying Capabilities: T-SQL provides a wide range of powerful features for querying and manipulating data, including advanced join operations, aggregate functions, and subqueries.
  • Stored Procedures and Functions: T-SQL allows the creation of stored procedures and functions, enabling developers to encapsulate complex logic and improve code reusability.
  • Transaction Management: T-SQL supports transaction management, ensuring data integrity and consistency by allowing developers to group multiple database operations into atomic units.
  • Security Features: T-SQL provides robust security features, including user authentication, role-based access control, and encryption, helping to protect sensitive data.
  • Data Manipulation Language (DML) Operations: T-SQL offers a comprehensive set of DML operations, such as INSERT, UPDATE, DELETE, and MERGE, allowing for efficient data manipulation.
  • Integration with .NET Framework: T-SQL can be seamlessly integrated with the .NET Framework, enabling developers to combine the power of SQL and C# or VB.NET to build robust applications.
  • Indexing and Query Optimization: T-SQL supports various indexing techniques and query optimization tools, allowing developers to improve query performance and enhance overall database efficiency.
  • Community Support: T-SQL has a large and active community of developers, providing a wealth of resources, forums, and documentation to assist in learning and troubleshooting.

9 Cons of T-SQL

  • Vendor-Specific: T-SQL is specific to Microsoft SQL Server and may not be directly applicable to other database management systems, limiting portability.
  • Complex Syntax: T-SQL syntax can be complex and challenging to learn, especially for beginners, requiring a significant learning curve.
  • Limited Cross-Platform Compatibility: T-SQL is primarily designed for Windows-based environments and may have limited support for other operating systems.
  • Not Suitable for Large-Scale Data Warehousing: While T-SQL is efficient for regular database operations, it may not be the optimal choice for large-scale data warehousing and analytics tasks.
  • Lack of Advanced Analytical Functions: T-SQL lacks some advanced analytical functions available in other database systems, limiting its capabilities for complex data analysis.
  • Limited Object-Oriented Programming Features: T-SQL is primarily a procedural language and lacks full support for object-oriented programming concepts, which may be a limitation for certain application requirements.
  • Debugging Challenges: Debugging T-SQL code can be challenging, as it requires specialized tools and techniques compared to traditional application debugging.
  • Version Compatibility Issues: Different versions of SQL Server may introduce compatibility issues, requiring code adjustments when migrating between versions.
  • Steep Licensing Costs: Microsoft SQL Server, which is required to use T-SQL, has licensing costs, which can be a significant factor for small-scale or budget-constrained projects.

Cases when T-SQL does not work

  1. Unsupported Syntax: T-SQL may not support certain syntax or features that are available in other database systems. For example, T-SQL does not support the use of the LIMIT clause for limiting query results, which is commonly used in other database systems like MySQL or PostgreSQL.
  2. Platform Limitations: T-SQL is specifically designed for Microsoft SQL Server, and therefore may not work on other database platforms. If you need to migrate your database to a different platform, you may encounter compatibility issues with T-SQL.
  3. Performance Issues: T-SQL may not always perform optimally for complex or large-scale queries. In some cases, other database systems may provide better performance and optimization capabilities, especially for specific types of workloads.
  4. Vendor-Specific Functions: T-SQL includes many vendor-specific functions that are tailored for Microsoft SQL Server. If you need to work with a different database system, you may not have access to these specific functions and may need to find alternative solutions.
  5. Data Type Limitations: T-SQL has its own set of data types, and if you need to work with data types that are not supported by T-SQL, you may encounter difficulties or limitations. For example, T-SQL does not have a native Boolean data type, so you would need to use other data types or workarounds to represent Boolean values.

Data sources:

  • Microsoft T-SQL Limitations and Restrictions
  • SQLShack – SQL Server and MySQL Data Types Comparison
  • Hard skills of a T-SQL Developer

    As a T-SQL Developer, having strong hard skills is essential to succeed in the field. These skills enable you to effectively work with the T-SQL language and manipulate data in Microsoft SQL Server databases. Let’s explore the hard skills required at different levels of expertise:


    • T-SQL Fundamentals: Proficient in writing basic T-SQL queries, including SELECT, INSERT, UPDATE, and DELETE statements.
    • Data Modeling: Understanding of database design concepts and the ability to create simple database schemas.
    • Query Optimization: Basic knowledge of query execution plans and the ability to optimize queries for better performance.
    • Database Administration: Familiarity with tasks like creating tables, indexes, and views, as well as managing user permissions.
    • Error Handling: Knowledge of handling exceptions and errors in T-SQL code using try-catch blocks.


    • Advanced T-SQL Queries: Proficiency in writing complex queries involving joins, subqueries, and common table expressions.
    • Stored Procedures: Ability to create and optimize stored procedures for efficient data retrieval and manipulation.
    • Data Analysis: Understanding of analytical functions and the ability to perform data analysis using T-SQL.
    • Performance Tuning: Knowledge of indexing strategies, query optimization techniques, and the ability to identify and resolve performance bottlenecks.
    • Database Design: Proficiency in creating normalized database schemas, defining relationships, and implementing referential integrity.
    • ETL Processes: Familiarity with Extract, Transform, Load (ETL) processes and the ability to design and implement data integration workflows.
    • Security and Permissions: Understanding of database security principles and the ability to manage user access and permissions.


    • Advanced Query Optimization: Expertise in analyzing query execution plans, identifying performance issues, and optimizing complex queries.
    • Database Performance Tuning: Proficiency in fine-tuning database performance through index optimization, partitioning, and query rewriting.
    • High Availability: Knowledge of implementing high availability solutions like database mirroring, clustering, or Always On Availability Groups.
    • Database Monitoring and Maintenance: Ability to set up monitoring tools, configure alerts, and perform routine database maintenance tasks.
    • Data Warehousing: Understanding of data warehousing concepts and the ability to design and build data warehouse solutions.
    • Replication: Familiarity with database replication techniques for data distribution and synchronization across multiple servers.
    • Database Migration: Experience in migrating databases between different versions or platforms while ensuring data integrity and minimal downtime.
    • Backup and Recovery: Expertise in creating backup strategies, implementing disaster recovery plans, and restoring databases in case of failures.

    Expert/Team Lead

    • Database Architecture: Ability to design scalable and highly available database architectures to meet the needs of large-scale applications.
    • Performance Optimization: Expertise in optimizing database performance at the system level, including server configuration and resource allocation.
    • Data Governance: Knowledge of data governance principles and the ability to enforce data quality, integrity, and security standards.
    • Database Security: Proficiency in implementing advanced security measures like encryption, auditing, and row-level security.
    • Cloud Database Services: Experience in working with cloud-based database services like Azure SQL Database or Amazon RDS.
    • Team Leadership: Ability to lead a team of T-SQL Developers, provide guidance, and oversee complex database projects.
    • Technical Documentation: Proficiency in documenting database designs, schemas, and processes for future reference and knowledge sharing.
    • Problem Solving: Expertise in troubleshooting complex database issues and providing innovative solutions.
    • Continuous Learning: Commitment to staying updated with the latest advancements in T-SQL and database technologies.
    • Collaboration: Ability to work effectively with cross-functional teams, including developers, testers, and system administrators.
    • Communication: Excellent communication skills to effectively convey technical concepts and collaborate with stakeholders.

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