Swati Sawant
Principal Engineer at Unravel Data
Pune, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolSwati Sawant is a Principal Engineer based in Pune, India with over a decade of experience architecting and delivering high-performance, data-intensive systems. She has progressed through senior engineering and QA roles at companies like TIBCO, SnappyData, Pivotal, and VMware, and currently drives platform and product engineering at Unravel Data. Her background blends hands-on back-end development, performance engineering, and QA leadership, delivering reliable analytics and job-management tooling for memory-optimized, Spark-based systems. As a contributor to the well-known SnappyData project, she improved job submission and management scripts to align with Spark-like CLIs, demonstrating practical, user-focused engineering. Colleagues rely on her for bridging deep technical detail with production readiness across distributed systems. She pairs a B.E. in Information Technology with a track record of turning complex data-platform requirements into usable, maintainable solutions.
10 years of coding experience
10 years of employment as a software developer
B.E. Information Technology, B.E. Information Technology at P.D.V.V.P.C.O.Engineering, Ahmednagar(Pune University)S.S.V.V. School
Github Skills (12)
sh10
script10
bash10
shell10
curl10
scripting10
apache-spark9
analytics8
transaction7
stream7
in-memory-database6
memory-database6
Programming languages (2)
Github contributions (5)
TIBCOSoftware/snappydata
Nov 2015 - Jul 2019
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Role in this project:
Back-end Developer
Back-end DeveloperContributions:267 commits, 118 PRs, 830 pushes in 3 years 8 months
Contributions summary:Swati primarily contributed to the development of tools for managing and submitting jobs to a job server within the SnappyData project. Their work focused on creating and modifying shell scripts to facilitate job submission, status checking, and overall management. The user's contributions also involved incorporating review comments and refining the usability of these job management scripts, aligning them with a Spark-like command-line interface. Further contributions fixed minor issues and integrated changes from other branches.
memorypredictstreammemory-databasetransact
big-pegasus/snappydata
Jan 2016 - Nov 2018
Contributions:121 commits in 2 years 11 months
pythondata-sciencetransactsqlpredict
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