Apache Hudi Contributor at The Apache Software Foundation
Seattle, Washington, United States
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Summary
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Rockstar
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Top School
Rahil Chertara is a software engineer with 8 years’ experience specializing in data and AI infrastructure, currently helping lead Apache Hudi work at Onehouse after a multi-year tenure at AWS where he contributed to SageMaker Lakehouse and S3 Tables. He is an active Apache contributor across Hudi, Iceberg, XTable, and Polaris, with deep hands-on expertise in query engines (Spark, Trino), data catalogs, open table and file formats (Parquet, Avro, Arrow, Lance), and distributed systems. Rahil’s contributions to Apache Hudi include bootstrap and partition handling, Spark optimizations, and AWS DMS integration—work that improves reliability and incremental processing at scale. Based in Seattle and grounded in practical production experience from EMR to startup, he blends backend engineering rigor with open-source stewardship to enable new AI/ML use cases on unstructured data.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Rutgers University–New Brunswick
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer / Data Engineer
Contributions:337 reviews, 19 commits, 95 PRs in 6 months
Contributions summary:Rahil contributed to the Apache Hudi project by addressing various issues and implementing improvements related to data processing and table management. Their work includes adding logging functionality, fixing Avro-related issues, and optimizing Spark-based operations like table invalidation. The user also focused on bootstrap and partition handling within Hudi, modifying the file index to accurately manage bootstrapped tables. Further contributions involved AWS DMS integration and enhancements.
Upserts, Deletes And Incremental Processing on Big Data.
Contributions:16 reviews, 13 PRs, 501 pushes in 4 years 9 months
big-dataincremental-processing
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