Sudipto Das
Principal Engineer at Databricks
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolSudipto Das is a Principal Engineer with 15+ years building high-scale cloud database systems, now leading architecture at Databricks after senior engineering roles at AWS where he founded and took Amazon Timestream to GA and led Redshift/TL efforts. He blends deep research rigor—holding a PhD from UC Santa Barbara and an ACM SIGMOD Jim Gray Dissertation Award—with product-focused delivery, shaping roadmaps and working closely with thousands of customers. His technical expertise spans distributed query processing, automated indexing, performance isolation, and scale-out transaction processing, with research that influenced Azure SQL Database’s service tiers and auto-indexing. Sudipto is also an active open-source contributor to high-profile tooling, contributing backend enhancements and JDBC integration to the widely used YCSB benchmark. Known for balancing long-term architectural vision with incremental execution, he excels at bringing clarity to ambiguous, cross-team initiatives. Colleagues describe him as an engineering leader who consistently turns academic ideas into production-grade, customer-facing services.
15 years of coding experience
18 years of employment as a software developer
B.E, Computer Science & Engineering, B.E, Computer Science & Engineering at Jadavpur UniversityPhD, Computer Science, PhD, Computer Science at UC Santa Barbara
Github Skills (10)
javas10
databases10
jdbc10
data-integration10
sql-database10
java10
benchmarking9
bash9
benchmark9
algorithm8
Programming languages (3)
Github contributions (5)
brianfrankcooper/YCSB
Dec 2010 - Aug 2011
Yahoo! Cloud Serving Benchmark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits in 8 months
Contributions summary:Sudipto primarily contributed to the back-end functionality of the YCSB benchmark. They added a utility script to enhance the classpath setup and added a generator for a hotspot distribution, demonstrating a focus on workload generation. Furthermore, the user integrated a JDBC database client, enabling the benchmark's interaction with JDBC-compliant databases. They also added functionality to stop the benchmark after a specified time period and updated the code to correctly handle the stop request.
servingbenchmarkingbenchmarkyahookubernetes
sudiptodas/sudiptodas.github.io
Jun 2019 - Jun 2019
Contributions:7 pushes, 1 branch in 2 days
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