Nehil Jain
Member Of Technical Staff at Anyscale
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolNehil Jain is a data-focused engineer with 13 years of experience building 0-to-1 products and production data systems, currently a Member of Technical Staff at Anyscale in the San Francisco Bay Area. He has helped scale startups (including a Super.com venture that reached >$1B valuation) and contributed to patented work in mining, while also shipping knowledge-worker tools at an insurance firm. Comfortable across data engineering, back-end automation, and cloud-native architectures, he has hands-on open-source contributions to Great Expectations that improved CLI notebook launches, data context handling, tests, and docs. A former McKinsey/QuantumBlack technology expert and startup co-founder, he blends consulting rigor with product-first execution. Passionate about GenAI, Nehil’s mission is to improve the lives of over a million people by applying large-language models to real-world workflows.
13 years of coding experience
11 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
English, Hindi
Stackoverflow
679reputation
73kreached
8answers
7questions
Github Skills (20)
python10
command-line-interface10
command-line10
cli10
testing9
jupyter-notebook9
documentation8
data-engineering8
data-science7
data-quality7
data-profiling7
sql6
airflow6
data-cleaning6
exploratory-data-analysis6
Programming languages (14)
Github contributions (5)
great-expectations/great_expectations
Apr 2020 - May 2020
Always know what to expect from your data.
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:8 commits, 1 PR, 8 comments in 6 days
Contributions summary:Nehil contributed to the project by adding functionality for launching Jupyter notebooks through the command line interface, enhancing the project's utility for data exploration and analysis. They also made changes to the data context and dataset modules, likely to improve data handling capabilities. Additionally, the user added tests for the command-line interface toolkit, improving test coverage. Furthermore, they updated documentation, enhancing the usability of the project.
pythondatadata-integritydatacleanerpipeline-testing
nehiljain/dotfiles
Nov 2016 - Feb 2023
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
Contributions:63 pushes, 1 branch in 6 years 3 months
sensiblekarabinerasdfwrenchstow
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