Vinoth Govindarajan
Member Of Technical Staff at The Apache Software Foundation
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolVinoth Govindarajan is a Member of Technical Staff based in San Francisco with 10 years of experience building scalable, reliable data and backend systems. He has held senior engineering roles at Apple and Uber and now contributes to OpenAI while serving as an Apache Hudi committer, signaling deep expertise in large-scale data processing. Vinoth authored "Engineering Lakehouses with Open Table Formats," reflecting practical mastery of Iceberg, Hudi, and Delta Lake and an ability to translate complex architectures into actionable guidance. His open-source work on Apache Hudi—adding SqlSource/SqlFileBasedTransformer support and Hive-style partitioning—shows a focus on improving ingestion and incremental processing in production data pipelines. Colleagues know him as a problem-solver who combines hands-on implementation with mentoring and architectural thinking. He pairs formal IT training from Madras Institute of Technology with a track record of shipping robust systems across enterprise and consumer platforms.
10 years of coding experience
15 years of employment as a software developer
Diploma in Computer Technology Computer Science, Diploma in Computer Technology Computer Science at Central Polytechnic CollegeB.Tech Information Technology, B.Tech Information Technology at Madras Institute of Technology Campus
Tamil, English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (11)
javas10
big-data10
apache-hudi10
incremental-processing10
java10
data-integration9
apache-spark9
sql8
drupal6
menu6
taxonomy6
Programming languages (6)
Github contributions (5)
apache/hudi
May 2020 - Jun 2022
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:55 reviews, 23 commits, 24 PRs in 2 years 1 month
Contributions summary:Vinoth primarily contributed to the Apache Hudi project by fixing bugs and adding new features. They addressed error messaging issues in the incremental processing source, and added a HiveStylePartitionExtractor to support Hive style partitions. Furthermore, the user implemented support for SqlFileBasedTransformer and SqlSource, enhancing the data ingestion capabilities of the project. Their work demonstrates a focus on improving data processing and integration functionalities within the Hudi ecosystem.
stream-processingbigdatahudiincrementalapacheflink
vingov/hudi
Mar 2021 - Jul 2022
Upserts, Deletes And Incremental Processing on Big Data.
Contributions:126 pushes, 30 branches in 1 year 4 months
deltaincrementalincremental-processingbig-dataspark
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