Jay Narale
Staff Software Engineer at Presto Foundation
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJay Narale is a Staff Software Engineer based in California with a decade of experience building high-performance query engines and distributed systems. He leads Presto/Velox integration efforts at Uber and is an active committer and TSC member of the Presto Foundation, contributing substantive backend improvements to the widely used Presto SQL engine. His work spans CTE materialization, dynamic filtering, and a Redis-based history statistics plugin—efforts that improve query stability and performance at scale. Prior roles at Dremio and Yahoo! JAPAN sharpened his expertise in query planning, join optimization, and storage-layer performance, including a 47% lookup speedup via flatbuffers. Jay combines hands-on implementation with open-source stewardship, and quietly bridges research-grade ideas into production systems used across big-data deployments.
10 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Bombay
English, Japanese, Hindi, Marathi
Stackoverflow
1reputation
0reached
0answers
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Github Skills (12)
javas10
big-data10
sql-query10
query-optimization10
presto10
sql10
back-end-development10
java10
data-model10
user-data10
data-set10
hadoop9
Programming languages (10)
Github contributions (5)
prestodb/presto
Dec 2022 - Apr 2025
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:482 reviews, 106 PRs, 35 pushes in 2 years 4 months
Contributions summary:Jay primarily contributed to the Presto distributed SQL query engine, focusing on enhancements and bug fixes. Their work included fixing issues related to table sampling for decimal types, removing experimental prefixes from dynamic filtering configurations, and adding a Redis-based history-based statistics provider plugin. They also made changes to CTE materialization and scheduling, and fixed documentation, indicating a focus on improving query performance and stability.
distributed-sqlquerybigdataquery-enginesql
jaystarshot/presto
Jan 2023 - Mar 2025
The official home of the Presto distributed SQL query engine for big data
Contributions:2 PRs, 441 pushes, 64 branches in 2 years 2 months
querybigdataquery-enginesqlbig-data
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