Sai Sreerama is a Software Engineer II with five years of full-stack experience and a focus on database engineering and backend systems, currently contributing at Microsoft in Kansas. He has deep practical expertise in CI/CD, automated testing, and application support, and has improved critical database tooling such as schema compare and Dacpac integrations in high-profile open-source projects like Azure Data Studio and SQL Tools Service. Sai bridges front-end and back-end stacks from earlier work with React/Redux and .NET to advanced database deployment and telemetry, routinely fixing complex bugs and adding test coverage. His background in electrical and computer engineering (MS) and hands-on work at enterprise firms like Cerner gives him a systems-first perspective that surfaces subtle deployment and telemetry issues before they reach production.
5 years of coding experience
6 years of employment as a software developer
Master's degree, Masters in Computer Science and Electrical Engineering, Master's degree, Masters in Computer Science and Electrical Engineering at University of Missouri-Kansas City
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Lakireddy Bali Reddy College of Engineering, L.B. Reddy Nagar, Mylavaram, PIN-521230(CC-76)
SQL Tools API service that provides SQL Server data management capabilities.
Role in this project:
Back-end Developer & Database Engineer
Contributions:104 reviews, 77 commits, 71 PRs in 1 year 2 months
Contributions summary:Sai primarily focused on enhancing the schema compare functionality within the SQL Tools Service, addressing errors and warnings related to database schema comparisons. They implemented fixes and added test cases to validate the exclusion of warnings and proper error handling. The user also updated the service to support newer DacFx versions and integrated Dac deployment options for schema comparison, integrating with DacFx to retrieve object types, and creating an options map table for various deployment properties.
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Role in this project:
Back-end Developer & Database Engineer
Contributions:226 reviews, 67 commits, 131 PRs in 1 year 8 months
Contributions summary:Sai primarily contributed to the Azure Data Studio project by implementing features related to the Dacpac extension. Their work included adding telemetry for the Dacpac extension and core wizard, which captured potential data loss scenarios and updated telemetry code for comments. Furthermore, the user made changes to the schema compare and sql database projects by fixing failing tests, updating deployment options, and refactoring code. The user also worked on enabling Database scoped configurations and filegroups tab to enhance the database properties experience.
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