Nikhil Sontakke

Co Organizer at Ezy EV Technologies

Pune, Maharashtra, India
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Summary

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Rockstar
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Top School
Nikhil Sontakke is a seasoned database engineer and open-source contributor with over 15 years of experience building and optimizing PostgreSQL-based systems for cloud and distributed environments. He has led core database work at Timescale and Microsoft’s HorizonDB initiative, contributing C and Rust code to Postgres internals and real-world features like parallel vacuum testing and reliability fixes in TimescaleDB. A co-organizer of PGConf India since 2014, he plays a key role growing Asia’s largest PostgreSQL community while advising startups on scaling IoT and EV infrastructure with high-performance time-series databases. His background spans startups and enterprise products—from founding SecureDB to architecting geo-distributed databases at TransLattice—bringing a rare blend of product, systems programming, and operational expertise. Notably, he combines deep protocol and internals knowledge with hands-on cloud-native delivery, making him as comfortable patching core Postgres as designing operational tooling for multi-node deployments.
code10 years of coding experience
job18 years of employment as a software developer
bookIndian Institute of Technology Bombay
bookB.E, Computer Science, B.E, Computer Science at Visvesvaraya National Institute of Technology
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Github Skills (7)

timeseries-database10
databases10
database-administration10
postgresql10
sql10
database10
testing9

Programming languages (6)

ShellRustCJavaScriptRubyPython

Github contributions (5)

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timescale/timescaledb

Feb 2021 - Nov 2022

A time-series database for high-performance real-time analytics packaged as a Postgres extension
Role in this project:
userDatabase Engineer / Database Administrator
Contributions:707 reviews, 86 commits, 171 PRs in 1 year 9 months
Contributions summary:Nikhil's contributions focused on enhancing the TimescaleDB database, specifically around improving the reliability, functionality, and performance of the system. Their work involved adding testing for parallel vacuum functionality, which included creating new SQL test files for this functionality, improving error messages for ON CONFLICT scenarios and fixing mismatched dynamic shared memory attach/detach calls. Additional work included fixing a crash related to transaction callbacks and also fixing test flakiness.
postgresql-extensionfinancial-analysiscomplex-queriestime-seriestsdb
nikkhils/timescaledb

Feb 2021 - Jul 2024

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Contributions:472 pushes, 160 branches, 2 tags in 3 years 5 months
postgresql-extensionsql-databasesqltimescaledboptimized
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