Pinak Datta
Associate Engineer - Data Platforms
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolPinak Datta is an Associate Data Governance Engineer who builds production-grade Python automations and API-driven workflows to make data discoverable and reliable at scale. With ~4 years of experience at Condé Nast Technology Lab, he has shipped systems that automatically resolve asset ownership, trigger governance notifications, and bulk-sync 100+ metadata fields to improve internal discoverability. He pairs analytical SQL work—deep dives on 5,000+ users—to surface real adoption and workflow gaps with lightweight tooling that reduces manual intervention. Beyond the corporate stack, he’s the author of a Python CLI on PyPI with 135K+ downloads, demonstrating a focus on developer-friendly, scalable systems. Based in Bengaluru, he’s aiming for roles in data engineering or platform engineering where automation and metadata-driven reliability drive impact.
4 years of coding experience
12th, Science, 12th, Science at BSF Senior Secondary Residential School, KadamtalaBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Kalinga Institute of Industrial Technology, BhubaneswarMahbert High School
Bengali, Hindi, English
Stackoverflow
1reputation
0reached
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Github Skills (42)
google-docs10
technical-writing10
artificial-intelligence9
facebook9
ctc9
sequence9
sequence-to-sequence9
nlp8
transformer-architecture8
python8
natural-language-processing8
conformer8
google8
pytorch8
open-source7
Programming languages (5)
Github contributions (5)
Pinak-Datta/conda-dot-org
May 2023 - Mar 2024
conda.org website
Contributions:8 PRs, 91 pushes, 3 branches in 10 months
Pinak-Datta/wiz-craft
Aug 2023 - Oct 2023
A CLI-based dataset preprocessing tool for machine learning tasks. Features include data exploration, null value handling, one-hot encoding, and feature scaling, and download the modified dataset effortlessly.
Contributions:3 releases, 8 reviews, 3 PRs in 2 months
clicli-appdatasethacktoberfest2023machine-learning
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