Sharayu Gandhi
Senior Software Engineer - Data(Systems And Infrastructure)
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSharayu Gandhi is a Senior Software Engineer with nine years of experience building data systems and infrastructure, currently focused on real-time analytics at LinkedIn where she works on Apache Pinot—the backbone for many LinkedIn products. She specializes in designing scalable data pipelines, streaming platforms, and data lakes, and has hands-on experience optimizing performance, compression, and real-time text search for distributed OLAP datastores. Prior roles at IBM and research internships reflect a strong foundation in both industry-grade engineering and applied research. A USC master’s graduate and top-ranked computer engineering undergraduate, she combines rigorous academic training with pragmatic production engineering. Notably, her open-source contributions to Pinot include adding IN predicate support, Bloom filter integration, and Zstandard/LZ4 codecs—small but impactful changes that improve query efficiency and storage economics at scale.
9 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Southern CaliforniaBachelor of Engineering (BE), Computer Engineering, Rank 1: Distinction with Honors, Bachelor of Engineering (BE), Computer Engineering, Rank 1: Distinction with Honors at University of Pune; Cummins College of Engineering
English, Hindi, Marathi, Gujarati
Github Skills (7)
data-storage10
javas10
apache-pinot10
performance-optimization10
java10
bloom-filter9
sql8
Programming languages (2)
Github contributions (5)
apache/pinot
Apr 2021 - Nov 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:169 reviews, 20 commits, 34 PRs in 1 year 7 months
Contributions summary:Sharayu contributed to the Apache Pinot datastore, focusing on performance optimization and feature enhancements. They implemented support for the IN predicate in the ColumnValue SegmentPruner and added Zstandard and LZ4 compression codecs. Additionally, the user worked on computing absolute index for real-time text search and fixed race conditions in the realtime text index refresh thread. They also provided support for Bloom Filter in IN predicate.
realtimedata-streamolapapachedatastore
GSharayu/pinot
Apr 2021 - Jul 2023
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
Contributions:28 reviews, 2 PRs, 480 pushes in 2 years 3 months
incubatingrealtimeolapapachedatastore
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