Nileema Shingte
Software Engineer at Snowflake Computing
San Francisco Bay Area United States
Summary
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RockstarNileema Shingte is a software engineer with 12 years of experience based in the San Francisco Bay Area, currently building data platform features at Snowflake. She brings deep backend expertise in distributed SQL engines, evidenced by contributions to the well-known Presto project where she enhanced query parsing, implemented table sampling methods, and added robust scalar math functions for NaN and infinity handling. Her work shows a practical focus on correctness and performance in large-scale query processing, bridging language-level parsing changes with production-ready functionality. Comfortable in high-throughput data environments, she combines pragmatic engineering with a curiosity for subtle numeric and sampling edge cases that often surface in real-world analytics.
12 years of coding experience
Github Skills (18)
big-data10
query-optimization10
java10
math-functions10
javas10
sql10
performance-tuning10
presto10
data-structure9
back-end-development9
algorithms9
backend9
data-structures9
database8
data-storage8
Programming languages (1)
Github contributions (5)
prestodb/presto
Sep 2013 - Aug 2016
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:374 commits, 360 PRs, 185 pushes in 3 years
Contributions summary:Nileema contributed to the development of the Presto distributed SQL query engine by implementing features related to the query parser and adding support for new features such as tablesampling and new scalar math functions. They focused on modifying the parsing logic for table samples, allowing for system-based and Bernoulli-based sampling methods. Furthermore, they added new functions related to handling NaN, infinity, and related calculations within the engine.
distributed-sqlquerybigdataquery-enginesql
nileema/presto
Jun 2016 - Jul 2016
Contributions:17 commits, 628 pushes, 392 branches in 1 month
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