Romain Dorgueil

Data Engineer

Paris, Ile-de-France
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Romain Dorgueil is a Paris-based Data Engineer with 14 years of hands-on experience building reliable data-driven software and shipping products from concept to market. A Pythonista and entrepreneur currently crafting solutions at Makersquad, he blends engineering discipline with product-minded delivery. He contributes to well-known open-source tooling—improving pytest’s doctest reporting and test automation—demonstrating attention to developer experience and quality. Comfortable across the data lifecycle, Romain focuses on robust testing, automation, and pragmatic engineering trade-offs. Musically inclined and creatively curious, he brings an interdisciplinary perspective to problem solving that often surfaces non-obvious optimizations.
code14 years of coding experience
stackoverflow-logo

Stackoverflow

Stats
801reputation
20kreached
18answers
1question
github-logo-circle

Github Skills (14)

testing10
unit-testing10
pytest10
python10
unit-test10
doctest10
test-automation10
xml6
etl6
export-to-csv6
overriding6
django6
mysql6
django-templates6

Programming languages (11)

TypeScriptMDXCSSCMakefileJavaScriptGoPHP

Github contributions (5)

github-logo-circle
pytest-dev/pytest

Jul 2016 - Nov 2017

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:1 PR, 26 comments in 1 year 4 months
Contributions summary:Romain primarily focused on enhancing the testing capabilities of the pytest framework. Their contributions centered around adding a new option, `--doctest-report`, to control the output format for doctest failures. They implemented different report formats, including udiff, cdiff, ndiff, and only_first_failure, and wrote tests to validate each format. Furthermore, the user improved the codebase by separating option keys and values to avoid unnecessary module imports.
functional-testingpytestunit-testingtestingpython
Contributions:25 commits, 20 pushes, 2 branches in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial