Rajesh Sharabhalingappa
Software Engineer at Databricks
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolRajesh Sharabhalingappa is a software engineer with four years of experience building reliable storage and data systems, currently contributing to the Delta Lake team at Databricks from San Francisco. He brings a strong background in durability, availability, and scalability from multi-year work on Redshift at AWS and earlier embedded/networking tool development for set-top boxes at Cisco. At Databricks he contributes to the widely used open-source Delta Lake project, focusing on backend bug fixes, refactoring, and features like Lite Vacuum that improve data deletion visibility and robustness. Rajesh holds an MS in Computer Science from NC State and combines systems-level rigor with practical contributions to high-impact open-source storage infrastructure.
4 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at North Carolina State UniversityBachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering at National Institute of Engineering, Mysore
Kannada, English
Github Skills (6)
big-data10
spark10
delta-lake10
scala10
data-engineering9
testing8
Programming languages (1)
Github contributions (2)
delta-io/delta
Apr 2022 - Jan 2023
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 reviews, 7 commits, 14 PRs in 9 months
Contributions summary:Rajesh primarily focused on improving the Delta Lake storage framework, with contributions centered on bug fixes and refactoring within core components. Their work included addressing issues in checkpoint comparison logic and modifying test suites related to time travel and table creation. Furthermore, the user added additional metrics to vacuum stats, improving visibility into data deletion processes, and implemented code for the Lite Vacuum feature.
analyticsprestodbflinkbig-dataspark
rajeshparangi/delta
Jan 2024 - Feb 2025
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Contributions:23 pushes, 14 branches in 1 year
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