Neha Pawar
Software Engineering Manager at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNeha Pawar is a software engineering manager with 11+ years building petabyte-scale, real-time analytics platforms and currently leading Iceberg metadata work for BigQuery at Google. She previously led Data Infrastructure at StarTree, scaling Apache Pinot for millisecond p99 latencies across high-throughput, user-facing workloads and managing a global team of 20+. As a long-time Apache Pinot PMC member and top committer, she’s driven core architectural efforts—ingestion transformations, tiered storage, and observability—while contributing backend fixes and performance improvements to one of the most widely adopted real-time OLAP datastores. Neha combines hands-on systems engineering with mentoring and community leadership, regularly speaking at major conferences and publishing on distributed systems and observability. She’s passionate about building cost-efficient, resilient streaming systems that “shine under pressure,” and her work has been featured in SIGMOD, O’Reilly, and The New Stack.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Technology (BTech), Computer Engineering, Bachelor of Technology (BTech), Computer Engineering at COEP Technological UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of Illinois Urbana-Champaign
Stackoverflow
11reputation
621reached
2answers
1question
Github Skills (16)
data-storage10
javas10
apache-pinot10
query-engine10
querying10
java10
performance-optimization9
data-structure7
data-structures7
maven6
olap6
pomxml6
hadoop6
helix6
linkedin-api6
Programming languages (3)
Github contributions (5)
apache/pinot
Mar 2015 - Dec 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:555 reviews, 456 commits, 966 PRs in 7 years 10 months
Contributions summary:Neha contributed to the backend of the Apache Pinot datastore by implementing and modifying code for a range of features. Their work included enhancing the dashboard, improving the handling of data time values, fixing a bug related to incorrect calculations in derived metrics, and addressing issues in segment upload, processing, and deletion. Their contributions involved working with data storage, query execution, and general performance improvements, indicating a focus on the core functionality of Pinot.
realtimedata-streamolapapachedatastore
RocMarshal/incubator-pinot
Dec 2020 - Feb 2021
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
Contributions:32 commits in 1 month
incubatingrealtimeolapapachedatastore
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