Balaji Varadarajan
Engineering at Applied Intuition
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBalaji Varadarajan is an engineering leader with 8+ years of experience designing and operating high-throughput, transactional data platforms for companies from Yahoo and LinkedIn to Uber, Robinhood, and Applied Intuition. He specializes in data and streaming infrastructure—architecting low-latency change-capture systems, petabyte-scale ingestion pipelines, and ML-ready streaming stacks for autonomous vehicle workloads. At Uber he contributed to Apache Hudi as a PMC member and continues hands-on work across backend and DevOps, including CLI and CI/CD improvements to a widely used open-source data project. Known for blending deep systems engineering with pragmatic team leadership, he has repeatedly shipped resilient, compliant data pipelines and tooling under production SLAs. Based in Sunnyvale, he pairs an MS in Computer Science with a track record of moving research-quality data systems into robust, scalable services.
8 years of coding experience
20 years of employment as a software developer
The University of ArizonaSt Johns Matriculation and Hr.Sec.SchoolBE Computer Science & Engg, BE Computer Science & Engg at PSG College of Technology
Github Skills (10)
javas10
java10
cicd9
maven9
cli8
hadoop8
data-engineering7
big-data7
git6
version-control6
Programming languages (3)
Github contributions (5)
apache/hudi
Mar 2018 - Dec 2020
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:481 reviews, 203 commits, 447 PRs in 2 years 9 months
Contributions summary:Balaji primarily focused on code style formatting, ensuring compliance with basic Checkstyle rules. They modified Java code, specifically within the `hoodie-client` module, adjusting line lengths and disabling JavaDoc-related checks. Furthermore, the user contributed to the Hudi CLI, adding support for ordering and limiting results in show commands, including new commands for managing compaction. The changes also indicate involvement in CI/CD, contributing to scripts for setting up and configuring the testing environment.
stream-processingbigdatahudiincrementalapacheflink
bvaradar/hudi
Apr 2018 - Mar 2025
Spark Library for Hadoop Upserts And Incrementals
Contributions:56 PRs, 799 pushes, 226 branches in 7 years
bigdataemrsparkhadoopspark-streaming
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