Siddharth Teotia
Engineering Manager at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSiddharth Teotia is an engineering manager in San Francisco with 11 years of experience designing and operating high-performance distributed data systems, currently leading LinkedIn’s Online Analytics Data Plane (Apache Pinot) team. He brings deep systems expertise across databases, storage, file systems and OLAP query engines, and has advanced production stability and resource management in realtime datastores. A long-time Apache committer and PMC for both Pinot and Arrow, he contributes low-level fixes and test automation to widely used projects (Apache Arrow and Pinot) that power large-scale analytics. He pairs hands-on coding—memory/buffer handling, multithreading and storage internals—with people leadership and capacity/cluster automation, and has a history of shipping solutions at Oracle, Dremio and LinkedIn. Outside work he documents technical learnings on his blog and volunteers for a foundation founded in his sister’s memory, reflecting a blend of technical depth and community commitment.
11 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMasters Software Engineering Computer Science, Masters Software Engineering Computer Science at Carnegie Mellon University
Github Skills (12)
apache-arrow10
unit-testing10
data-structures10
javas10
apache-pinot10
resource-management10
multithreading10
data-structure10
java10
testing10
memory-management8
file-handling8
Programming languages (4)
Github contributions (5)
apache/pinot
Jul 2019 - Mar 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1987 reviews, 65 commits, 421 PRs in 2 years 8 months
Contributions summary:Siddharth primarily focused on improving the stability and resource management of the Apache Pinot datastore. They implemented several changes to address potential resource leaks by safely closing closeable resources. They also introduced enhancements to the handling of data buffers to mitigate potential issues in multi-threading scenarios, as seen in the fixes related to various readers and writers within the Pinot core. These changes demonstrate a focus on ensuring efficient and robust data handling within the system.
realtimedata-streamolapapachedatastore
apache/arrow
Jul 2017 - May 2019
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:4 reviews, 30 commits, 72 PRs in 1 year 9 months
Contributions summary:Siddharth primarily contributed to enhancing the Apache Arrow Java library. They focused on exposing and implementing functionalities such as `setLastSet` and `fillEmpties` methods in variable-length vectors, and fixing issues related to handling nested list structures and buffer address retrieval. They also added unit tests to validate the changes and ensure data integrity, including tests for splitAndTransfer and buffer address handling in various vector types.
memorymulti-languagetoolboxacceleratedarrow
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