Software Engineer at The Apache Software Foundation
San Jose, California, United States
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Summary
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Rockstar
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Top School
Samarth Jain is a seasoned Software Engineer with 12+ years building and scaling petabyte-scale analytical systems, currently focused on data platform work at Tesla after leading similar efforts at Netflix. He specializes in real-time, interactive, and batch analytics—optimizing Apache Druid, Trino, and Spark deployments to serve tens of millions of queries per day with sub-second SLAs and cost-efficient scaling. A long-time Apache contributor and committer (Druid, Phoenix) with notable improvements to Iceberg and Trino connectors, he combines deep distributed-systems expertise with practical performance engineering. His work has delivered multi-fold speedups—vectorized Parquet readers, high-throughput ingestion pipelines, and Spark migration frameworks—while improving observability and operational safety. Beyond code, he elevates teams through mentorship, cross-team design leadership, and production-hardened tooling. Based in San Jose, he pairs academic rigor (MS from Texas A&M, IIT Roorkee alum) with hands-on open-source impact on foundational data projects.
12 years of coding experience
19 years of employment as a software developer
Indian Institute of Technology Roorkee
MS Computer Science, MS Computer Science at Texas A&M University
Contributions:516 commits, 2 PRs, 199 comments in 2 years 4 months
Contributions summary:Samarth's commits primarily focus on enhancing the performance and functionality of the Apache Phoenix database. They worked on optimizing the loading of scanner caches for statistics-related operations, and implemented support for native HBase timestamp to optimize date range queries. Further contributions involve bug fixes and general improvements to the query execution and metadata handling within the database system. The commits also reflect work to improve build and release process.
Contributions:18 reviews, 19 commits, 43 PRs in 2 years 10 months
Contributions summary:Samarth primarily focused on refactoring and improving the `DataFile` and related classes within the Apache Iceberg project. Their contributions involved removing unused fields, adding support for split offsets in Parquet files, and refactoring the task splitting logic. These changes aimed to optimize data access and enhance the performance of Parquet file processing within Iceberg. Further work included improving the vectorized reads.
apache-icebergapachebig-datadatastreamjava
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Samarth Jain - Software Engineer at The Apache Software Foundation