Rahul Shivu Mahadev
Software Engineer at Databricks
San Francisco, California, United States
Summary
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RockstarRahul Shivu Mahadev is a software engineer based in San Francisco with seven years of hands-on experience building reliable backend systems. He contributes to high-impact open-source projects like delta-io/delta, where he has improved core functionality, error messaging for Z-Ordering, implemented parts of the Scala VACUUM API, and strengthened test and documentation quality. Comfortable working at the intersection of data storage and distributed compute, he focuses on pragmatic refactors that reduce operational surprises and improve developer experience. Rahul blends production engineering discipline with an attention to clarity in APIs and docs, making complex table operations more maintainable. He brings a track record of shipping thoughtful backend improvements that benefit both users and contributor workflows.
6 years of coding experience
Github Skills (8)
big-data10
spark10
delta-lake10
scala10
data-analytics9
acid8
javas4
java4
Programming languages (3)
Github contributions (5)
delta-io/delta
Jun 2019 - 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:55 reviews, 83 commits, 46 PRs in 3 years 7 months
Contributions summary:Rahul primarily contributed to the core functionalities of the delta-io/delta project. They focused on enhancing error messages related to Z-Ordering operations and other table operations. Furthermore, the user contributed to the development of the Scala API for the VACUUM command and described history API. They were involved in refactoring and improving documentation within the codebase, as well as ensuring tests are run correctly.
analyticsprestodbflinkbig-dataspark
rahulsmahadev/delta
Jul 2019 - Dec 2024
An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.
Contributions:42 pushes, 23 branches in 5 years 5 months
scalableworkloadsapachebig-dataspark
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