Sahil Takiar

San Diego, California, United States

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Summary

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Rockstar

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Top School

Sahil Takiar is an engineering leader and backend systems expert with 13 years building large-scale data infrastructure, most recently managing Platform and Data Engineering teams at Flock Freight. He brings deep hands-on experience from Cloudera and LinkedIn working on core Apache projects—Impala, Hive and Gobblin—where he focused on performance, stability and storage/read-path improvements. Sahil’s contributions span low-level HDFS enhancements, decryption/readFully APIs, and query-level optimizations like Impala’s topn_bytes_limit, reflecting a strong blend of performance engineering and pragmatic design. As an Apache committer and project chair across Hive, Impala and Gobblin, he pairs open-source stewardship with production delivery. Based in San Diego and UC Berkeley–trained, he’s equally comfortable leading teams as he is digging into byte-buffer APIs or refactoring complex configuration code. Colleagues cite him for improving reliability in long-running distributed systems and shipping subtle but high-impact fixes that prevent crashes and boost throughput.

13 years of coding experience

10 years of employment as a software developer

Bachelor of Science (B.S.), Electrical Engineering and Computer Science, Bachelor of Science (B.S.), Electrical Engineering and Computer Science at University of California, Berkeley

The Harker School

Spanish

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (24)

c-language10

back-end-development10

configuration-management10

query-optimization10

hdfs10

hadoop10

java10

bytebuffer10

javas10

sql10

apache-hive10

performance-tuning10

imp10

cprogramming-language10

impala10

Programming languages (6)

JavaC++ShellScalaRAMLPython

Github contributions (5)

apache/gobblin

Feb 2015 - Jun 2017

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

Role in this project:

Back-end Developer

Contributions:1 release, 189 commits, 288 PRs in 2 years 4 months

Contributions summary:Sahil primarily contributed to the Gobblin framework by refactoring and enhancing existing code. They focused on cleaning up and improving the configuration usage across the codebase, specifically addressing the usage of "fork config". They also added comprehensive JavaDocs to clarify the functionality of the methods and classes, and updated configuration key values. Their work touched upon multiple core components of the framework.

datadcosdata-streambig-data-integrationbatch-data

apache/impala

Sep 2018 - Oct 2020

Apache Impala

Role in this project:

Back-end Developer & Performance Engineer

Contributions:89 commits in 2 years 1 month

Contributions summary:Sahil primarily addressed performance and stability issues within the Apache Impala project. Their contributions focused on fixing arithmetic overflows, which could lead to crashes, and optimizing performance of existing features. Furthermore, the user enhanced the codebase by introducing query options, such as 'topn_bytes_limit,' to improve performance for large queries. In addition to improving performance of core features, the user also added tests to existing test suites.

apache-impalaparquetolapsqlapache

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