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Anik Gupta, Senior Information Technology Engineer

Last Updated: 23 Feb 2024

Accomplished software engineer boasting over 14 years of expertise in the IT services industry, specializing in database management systems, particularly IBM DB2 and PostgreSQL. Key attributes include adeptness in installation, upgrade, performance tuning, HADR setup, and data encryption. Proven project management skills underscored by leading infrastructure teams. Distinctive achievements include AWS Certified Solutions Architect, with hands-on experience in orchestrating solutions for database services in AWS, and ITIL V4 certification, indicating a strong grasp of best practices in IT service management. Demonstrated ability to automate tasks and enhance system efficiencies, as well as a background in ServiceNow, underlines a commitment to process optimization. The engineer's substantial experience in diverse domains such as banking, finance, and e-commerce provides a robust foundation for tackling varied project demands.

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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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Artem P., Full-stack Engineer

Eindhoven, Netherlands
Last Updated: 4 Jul 2023

- 9+ years of work experience in software development - Solid knowledge of Microsoft .Net Framework, C#, JavaScript - Understanding of OOD/OOP/SOA concepts and design patterns -Skills in designing applications architecture and technical research - Experience both in front-end and back-end development

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Rommy S., Senior IT Operation Support Manager

Pesanggrahan, Indonesia
Last Updated: 31 Jul 2023

- As a Senior IT Operations Support Manager in mining and banking with more than 25 years of experience with a proven ability to complete complex and challenging improved. With areas of expertise including, but not limited to Operation Support/Project management, agile practices, mining, transaction banking, business process management, software development lifecycle, and IT managed services - Produced new application releases from systems development staff or software suppliers and ensured the continued support of the service thereafter. Improved with comprehensive business/technical skill set and conscientious self-starter, able to strategize and prioritize effectively to accomplish multiple tasks and stay calm under pressure. Generated guides organizations in applying technology to business settings provide added value and create project deliverables in a timely manner.

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Ihor S., Fullstack Engineer (Java/React)

Last Updated: 4 Jul 2023

- Full Stack developer with 4+ years of development experience - Upper-Intermediate English - Available ASAP

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Table of Contents

Cases when IBM DB2 does not work

  1. Insufficient disk space: IBM DB2 requires a certain amount of disk space to store its database files. If the available disk space is not enough to accommodate the database or its growing size, DB2 may not work properly. It is important to regularly monitor and manage the disk space to avoid such issues.
  2. Hardware failure: Like any other computer system, hardware failures can impact the functioning of IBM DB2. If there is a failure in components such as the server, storage devices, or network infrastructure, it can disrupt the DB2 operations. Regular maintenance and redundancy measures, such as RAID configurations, can help mitigate this risk.
  3. Incorrect configuration: DB2 requires proper configuration for optimal performance. If the configuration settings are not set appropriately, it can lead to performance issues or even failures. Common misconfigurations include inadequate memory allocation, incorrect buffer pool settings, or improper storage configuration. It is crucial to follow IBM’s guidelines and best practices to ensure the correct configuration of DB2.
  4. Incompatible software or drivers: DB2 relies on various software components and drivers to function properly. If there is a compatibility issue with the operating system, other software packages, or device drivers, DB2 may not work as intended. It is essential to ensure that all the necessary software packages and drivers are compatible with the specific version of DB2 being used.
  5. Insufficient system resources: DB2 requires a certain level of system resources, such as CPU, memory, and network bandwidth, to perform its operations efficiently. If the system resources are insufficient, it can lead to slow performance or even system crashes. Proper capacity planning and resource allocation are crucial to ensure DB2 has adequate resources to operate smoothly.
  6. Data corruption or inconsistency: Data integrity is critical for any database system, including DB2. If there are instances of data corruption or inconsistencies within the database, it can cause DB2 to malfunction or generate incorrect results. Regular data validation and integrity checks, along with appropriate backup and recovery procedures, are necessary to maintain the integrity of the data stored in DB2.
  7. Security breaches or unauthorized access: If there are security breaches or unauthorized access to the DB2 system, it can lead to disruptions or compromises in its functioning. Malicious activities or unauthorized changes to the database can impact the availability and reliability of DB2. Implementing strong security measures, such as access controls, authentication mechanisms, and encryption, is vital to safeguard the DB2 environment.
  8. Software bugs or compatibility issues: Like any complex software, DB2 may contain bugs or compatibility issues that can affect its performance or stability. These issues can arise from the DB2 software itself or from other software components interacting with DB2. Staying up-to-date with the latest IBM DB2 software patches and fixes, as well as testing compatibility with other software packages, can help mitigate these issues.

TOP 10 IBM DB2 Related Technologies

  • SQL

    SQL (Structured Query Language) is the fundamental language used for interacting with IBM DB2 databases. It allows developers to create, retrieve, update, and delete data stored in DB2. With its standardized syntax and powerful querying capabilities, SQL is a must-have skill for IBM DB2 software development.

  • Java

    Java is a widely-used programming language in the software development industry. It offers robust support for connecting to DB2 databases through JDBC (Java Database Connectivity). With Java, developers can build scalable and high-performance applications that interact seamlessly with DB2.

  • Python

    Python is a versatile programming language that has gained popularity among developers for its simplicity and readability. It provides several libraries and modules, such as ibm_db and pyodbc, which enable easy integration with DB2 databases. Python’s ease of use makes it a popular choice for rapid prototyping and data analysis tasks.

  • .NET Framework

    The .NET Framework, developed by Microsoft, offers a comprehensive set of tools and libraries for building Windows applications. It includes the IBM Data Server Provider for .NET, which allows developers to connect to DB2 databases using ADO.NET. .NET developers can leverage the power of DB2 in their applications while enjoying the benefits of the .NET ecosystem.

  • Node.js

    Node.js is a runtime environment that allows developers to run JavaScript code outside of a web browser. It provides the ibm_db and db2 libraries, which enable seamless integration with DB2 databases. Node.js’s event-driven architecture and non-blocking I/O make it an excellent choice for building scalable and real-time applications.

  • Spring Framework

    The Spring Framework is a popular Java framework that simplifies the development of enterprise applications. It offers integration with various database systems, including DB2, through the use of the Spring JDBC module. With Spring, developers can benefit from features like declarative transaction management and dependency injection while working with DB2.

  • RESTful APIs

    RESTful APIs (Representational State Transfer) provide a standardized way of building web services that can interact with DB2 databases. Developers can expose DB2 data through RESTful endpoints, allowing clients to retrieve and manipulate data using HTTP requests. RESTful APIs enable the development of scalable and decoupled applications.

Soft skills of a IBM DB2 Developer

Soft skills are essential for IBM DB2 Developers as they enable effective collaboration, communication, and problem-solving. Here are the soft skills required at different levels of expertise:


  • Adaptability: Ability to quickly learn and adapt to new technologies and programming techniques.
  • Attention to Detail: Being meticulous in writing code and paying attention to small details to ensure accuracy.
  • Teamwork: Collaborating effectively with team members to achieve project goals.
  • Time Management: Efficiently managing time and prioritizing tasks to meet project deadlines.
  • Communication: Effectively communicating technical concepts to team members and stakeholders.


  • Problem Solving: Analyzing complex issues and finding innovative solutions to optimize database performance.
  • Leadership: Taking ownership of projects and guiding junior developers to ensure successful outcomes.
  • Critical Thinking: Evaluating different approaches and making informed decisions based on data and analysis.
  • Collaboration: Working closely with cross-functional teams to integrate database solutions with other systems.
  • Mentoring: Sharing knowledge and providing guidance to junior developers to foster their professional growth.
  • Adaptability: Adapting to changing project requirements and adjusting strategies accordingly.
  • Attention to Detail: Ensuring accuracy and precision in database design and implementation.


  • Strategic Thinking: Developing long-term plans and strategies to enhance database performance and scalability.
  • Project Management: Leading database projects, coordinating resources, and ensuring timely delivery.
  • Communication: Effectively communicating complex technical concepts to stakeholders at all levels.
  • Collaboration: Collaborating with business stakeholders to understand their requirements and aligning database solutions accordingly.
  • Innovation: Identifying and implementing new technologies and techniques to improve database performance.
  • Adaptability: Adapting to evolving technologies and industry trends to stay ahead of the curve.
  • Problem Solving: Resolving complex database issues and providing expert guidance to the development team.
  • Leadership: Inspiring and motivating the team to achieve excellence and meet project objectives.

Expert/Team Lead

  • Strategic Planning: Developing long-term database strategies aligned with business goals.
  • Technical Expertise: Possessing in-depth knowledge of IBM DB2 and related technologies.
  • Decision Making: Making informed decisions based on extensive experience and industry best practices.
  • Collaboration: Building strong relationships with stakeholders and effectively managing client expectations.
  • Mentoring: Mentoring and coaching junior developers to enhance their technical skills and professional growth.
  • Innovation: Driving innovation by exploring new approaches and technologies in database development.
  • Problem Solving: Addressing complex database challenges and providing expert guidance to the team.
  • Leadership: Leading and inspiring the team to achieve exceptional results and exceed client expectations.
  • Communication: Communicating effectively with technical and non-technical stakeholders, both orally and in writing.
  • Project Management: Overseeing multiple projects, allocating resources, and ensuring successful project delivery.
  • Continuous Learning: Keeping up-to-date with the latest advancements in IBM DB2 and database technologies.

TOP 10 Facts about IBM DB2

  • IBM DB2 is a relational database management system (RDBMS) developed by IBM.
  • It was first introduced in the 1980s and has been continuously updated and enhanced since then.
  • DB2 is designed to handle large volumes of data efficiently and provide high-performance data management capabilities.
  • It supports multiple platforms, including mainframe, distributed systems, and cloud environments.
  • DB2 offers advanced features such as advanced query optimization, data compression, and workload management.
  • It provides support for various programming languages, including Java, C/C++, .NET, and Python.
  • DB2 is known for its reliability and scalability, making it suitable for enterprise-level applications.
  • IBM DB2 has a strong security model with features like access control, encryption, and auditing.
  • It offers built-in support for high availability and disaster recovery, ensuring data availability and minimizing downtime.
  • DB2 is widely used in industries such as finance, healthcare, retail, and telecommunications.

Pros & cons of IBM DB2

9 Pros of IBM DB2

  • High Performance: IBM DB2 is known for its excellent performance capabilities, allowing for fast and efficient data processing and retrieval.
  • Scalability: DB2 offers excellent scalability, making it suitable for handling large amounts of data and growing business needs.
  • Reliability: IBM DB2 is a highly reliable database system, ensuring data integrity and minimizing the risk of data loss.
  • Advanced Security Features: DB2 provides robust security features, including encryption, access control, and auditing, to protect sensitive data from unauthorized access.
  • Multi-platform Support: DB2 is compatible with various operating systems, such as Windows, Linux, and Unix, providing flexibility in deployment options.
  • Advanced Analytics: IBM DB2 offers advanced analytics capabilities, allowing users to perform complex data analysis and gain valuable insights.
  • Integration with IBM Ecosystem: DB2 seamlessly integrates with other IBM products and services, facilitating a comprehensive and unified technology stack for businesses.
  • Support for SQL and NoSQL: DB2 supports both SQL and NoSQL database models, providing flexibility in data management and accommodating diverse application requirements.
  • Excellent Support and Documentation: IBM provides comprehensive support and documentation for DB2, ensuring that users can easily troubleshoot issues and maximize their usage of the database system.

9 Cons of IBM DB2

  • Complex Setup and Configuration: Setting up and configuring DB2 can be complex, requiring technical expertise and potentially time-consuming.
  • Cost: IBM DB2 is a commercial database system, and licensing fees can be relatively expensive, especially for large-scale deployments.
  • Learning Curve: Due to its advanced features and complexity, mastering IBM DB2 may require a significant learning curve for users who are new to the database system.
  • Limited Community Support: Compared to some other database systems, DB2 has a smaller community of users, which may result in limited online resources and community support.
  • Less Popularity in Some Industries: While DB2 is widely used in certain industries, such as finance and banking, it may be less popular in other industries, leading to fewer industry-specific integrations and solutions.
  • Less Open Source Ecosystem: DB2 has a less extensive open source ecosystem compared to some other database systems, limiting the availability of open source tools and libraries.
  • Hardware Requirements: Depending on the scale of the deployment, DB2 may require high-performance hardware to achieve optimal performance, which can add to the overall cost of the solution.
  • Migration Challenges: Migrating from other database systems to DB2 can be challenging, requiring careful planning and potential data migration efforts.
  • Vendor Lock-In: Choosing DB2 may result in vendor lock-in, as it is a proprietary database system offered by IBM, potentially limiting flexibility in switching to alternative solutions in the future.

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssist in the development and maintenance of software applications, work on small coding tasks, perform code reviews, debug and fix issues under supervision, collaborate with team members to complete assigned projects.$50,000 – $70,000
Middle2-5 yearsDevelop and maintain software applications, write code for medium complexity tasks, conduct code reviews, identify and fix bugs, collaborate with team members to design and implement solutions, provide technical guidance to junior developers.$70,000 – $90,000
Senior5-8 yearsLead the development of software applications, design and implement complex features, optimize code for performance and scalability, mentor and guide junior and middle developers, collaborate with cross-functional teams, contribute to architectural decisions.$90,000 – $120,000
Expert/Team Lead8+ yearsProvide technical leadership and guidance to a team of developers, drive architectural and technical decisions, oversee project planning and execution, mentor and coach team members, collaborate with stakeholders to define project requirements, ensure high-quality code and timely delivery of projects.$120,000 – $150,000+

How and where is IBM DB2 used?

Case NameCase Description
Data WarehousingIBM DB2 Development is widely used for data warehousing purposes. It provides advanced features for managing large volumes of data efficiently. With its column-organized table capabilities, compression techniques, and workload management features, DB2 Development enables organizations to store, process, and analyze massive amounts of data for business intelligence and reporting purposes.
Online Transaction Processing (OLTP)DB2 Development excels in handling high-volume transactional workloads. It ensures data integrity, concurrency, and performance for applications that require quick and accurate processing of numerous online transactions. DB2 Development offers various optimization techniques, such as multi-version concurrency control (MVCC), lock avoidance, and index-only access, to deliver fast and reliable OLTP capabilities.
Financial ServicesIn the financial services industry, DB2 Development is used for a wide range of applications, including online banking, fraud detection, risk management, and compliance reporting. Its robust security features, scalability, and support for high availability make it an ideal choice for handling sensitive financial data and ensuring regulatory compliance.
HealthcareDB2 Development is extensively used in the healthcare sector for managing patient records, medical imaging data, clinical trials, and healthcare analytics. Its ability to handle complex data structures, support for industry standards, and advanced data encryption features make it a reliable platform for storing and analyzing critical healthcare information securely.
RetailDB2 Development is leveraged by retailers to manage inventory, customer data, supply chain information, and sales analytics. Its high-performance capabilities, scalability, and built-in support for SQL and XML enable retailers to handle large volumes of data efficiently and gain valuable insights for improving sales, optimizing inventory, and enhancing customer experiences.
TelecommunicationsTelecommunication companies rely on DB2 Development for various applications, including network management, billing systems, customer relationship management, and call detail record analysis. Its ability to handle complex data models, perform real-time data processing, and support high-throughput workloads makes it a preferred choice in the telecommunications industry.

What are top IBM DB2 instruments and tools?

  • IBM Data Studio: IBM Data Studio is a comprehensive database development and administration environment for creating, testing, and deploying SQL-based applications. With features like visual query builder, debugging tools, and database performance analysis, it is widely used by developers and administrators to manage DB2 databases efficiently.
  • IBM Optim Query Tuner: Optim Query Tuner is a powerful tool that helps optimize SQL queries for performance. It provides recommendations for rewriting queries, indexing strategies, and other SQL tuning techniques to improve query response time and reduce CPU usage. It has been proven to significantly enhance the performance of DB2 databases.
  • IBM InfoSphere DataStage: InfoSphere DataStage is a robust ETL (Extract, Transform, Load) tool that enables organizations to integrate data across various sources and formats. It offers a graphical interface for designing and managing data integration workflows, making it easier to extract, transform, and load data into DB2 databases.
  • IBM Guardium: Guardium is a data security and compliance solution designed to protect sensitive data stored in DB2 databases. It offers real-time monitoring, auditing, and encryption capabilities to ensure data privacy and compliance with regulatory requirements. Guardium helps organizations detect and prevent unauthorized access, data breaches, and insider threats.
  • IBM DB2 Connect: DB2 Connect is a middleware product that enables applications running on different platforms to access DB2 databases. It provides connectivity and protocol conversion between various systems, allowing seamless integration and interoperability. DB2 Connect is widely used in large enterprises with heterogeneous IT environments.
  • IBM Db2 Warehouse: Db2 Warehouse is a fully managed cloud data warehouse solution that offers high-performance analytics capabilities. It is optimized for handling large volumes of data and supports SQL queries, machine learning, and business intelligence tools. Db2 Warehouse is built on DB2 technology and is known for its scalability and performance.
  • IBM DataQuant: DataQuant is an advanced analytics tool that leverages machine learning and AI algorithms to uncover hidden patterns and insights within DB2 databases. It helps data scientists and analysts extract value from large datasets by automating data exploration, feature engineering, and model building tasks.
  • IBM Db2 Big SQL: Db2 Big SQL is a SQL-on-Hadoop engine that enables users to query and analyze data stored in various Hadoop distributions using standard SQL syntax. It provides a unified view of data across different sources, including DB2 databases, Hadoop, and cloud storage. Db2 Big SQL simplifies data integration and analysis in hybrid environments.

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