Joey Pinhas
Senior Software Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJoey Pinhas is a Senior Software Engineer with nine years of experience building privacy-centered, consumer-first web applications and observability tooling at Datadog. He combines a strong full-stack background (React, Node, PostgreSQL, MongoDB, AWS) with entrepreneurial instincts from co-founding and running Tanach Study, where he shipped a modern study platform, API, and automated content delivery. At Datadog he has progressed through multiple engineering levels, contributing both product features and test automation improvements—including enhanced test coverage for the widely used pre-commit/pre-commit-hooks project. A lifelong learner with an M.Eng from Cornell Tech and a B.S. from CUNY Brooklyn College, he focuses on practical, reliable systems that respect user privacy while simplifying complex workflows.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at City University of New York-Brooklyn CollegeMaster of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell Tech
English, Hebrew
Github Skills (9)
pytest10
python10
testing10
pre-commit-hook9
precommit9
json9
git4
refactoring3
linter3
Programming languages (8)
Github contributions (5)
pre-commit/pre-commit-hooks
Aug 2019 - Sep 2019
Some out-of-the-box hooks for pre-commit
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:13 commits, 1 PR, 15 comments in 1 month
Contributions summary:Joey primarily focused on improving the testing framework for the `pre-commit-hooks` repository. They added test cases to validate the functionality of the `pretty_format_json` hook, specifically focusing on output verification and diff generation. Their work included implementing new test cases and refining existing ones to ensure accurate results, including incorporating tools like `capsys` to capture and validate output. This resulted in improved test coverage and reliability for the project's JSON formatting capabilities.
linterpythonboxpre-commitout-of-the-box
tanach-study/ts-api
Feb 2018 - Jun 2020
Contributions:17 PRs, 61 pushes, 23 branches in 2 years 4 months
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