Vivek Vaidyanathan
Apache Pinot Committer at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVivek Vaidyanathan is a back-end-focused software engineer and Apache Pinot committer with nine years of experience building distributed, scalable systems across companies like LinkedIn, Cohesity, VMware, and athenahealth. A Georgia Tech computer science graduate, he has designed resilient data pipelines and secure EHR exchange interfaces and built networking and profiling tooling for vCenter. At LinkedIn and in open source he has improved core OLAP datastore behavior—fixing race conditions in concurrent segment uploads and adding features like allowRefresh and regexpReplace to Apache Pinot. He brings a strong systems programming pedigree from low-level profiling and packet-capture work to high-throughput analytics platforms. Based in San Francisco, he combines production-grade engineering with academic rigor from teaching OS and data analytics courses. Colleagues rely on him for pragmatic, well-tested fixes that address subtle concurrency and correctness issues in large distributed codebases.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Georgia Institute of TechnologyBachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Thiagarajar College of Engineering
English, Tamil
Github Skills (10)
javas10
apache-pinot10
distributed-systems10
api10
apidoc10
java10
regular-expression9
data-storage9
junit8
jtest8
Programming languages (2)
Github contributions (5)
apache/pinot
Feb 2022 - Jan 2023
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 384 reviews, 27 commits in 11 months
Contributions summary:Vivek primarily contributed to the Apache Pinot project by extending existing APIs and functionalities related to segment uploading and management. Their work focused on addressing race conditions in concurrent segment uploads, adding features like the `allowRefresh` option to the `UploadSegment` API, and introducing the `regexpReplace` scalar function. They also improved test coverage and refactored code related to the core functionalities of the system.
realtimedata-streamolapapachedatastore
vvivekiyer/pinot
Jan 2022 - Mar 2025
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
Contributions:405 pushes, 113 branches, 45 comments in 3 years 2 months
incubatingrealtimeolapapachedatastore
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