Rohan Krishnaswamy is a software engineer with seven years of experience building high-performance backend systems, currently working on Atlas, a low-latency financial markets database built on Apache DataFusion. He has a strong track record in query engine internals and SQL processing—contributing fixes and features to the widely used Apache DataFusion project, including UNNEST handling and UNION ALL BY NAME. Rohan has progressed through roles at GoodRx, Found, Second Spectrum, and Massive, often focusing on platform and systems-level challenges that bridge streaming and analytics. Based in Los Angeles, he pairs practical production experience with open-source craftsmanship and a background in computer science from UC Santa Cruz. Notably, he brings both bug-forging attention to core planner and nullability issues and the product-oriented mindset to ship complex data infrastructure.
Contributions:18 reviews, 5 PRs, 47 comments in 3 months
Contributions summary:Rohan primarily focused on enhancing the SQL query engine, specifically improving the handling of the `UNNEST` operator and refining join behaviors within the DataFusion framework. They fixed bugs related to planning and nullability in the `VALUES` node, and implemented the `UNION ALL BY NAME` feature. Their work involved modifying core logical plan components and updating SQL integration tests, demonstrating expertise in query optimization and SQL processing.
Contributions:10 reviews, 32 PRs, 83 pushes in 1 month
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