Artur Poniński
Senior Software Engineer at Adverity
Katowice, Silesian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolArtur Poniński is a Senior Software Engineer based in Katowice, Poland, with a solid background in backend development and four years of focused professional experience complemented by earlier full-stack and leadership roles dating back to 2011. He progressed from PHP development and team leadership into Python-focused engineering at Adverity, where he now contributes to production systems and platform reliability. An active open-source contributor, he improved data-processing ergonomics in the popular petl library by adding generator support and fixing DB and Excel view handling, highlighting a preference for pragmatic, maintainable solutions. Trained as an engineer and MSc graduate from Politechnika Śląska, he combines formal electronics/control theory foundations with hands-on software craftsmanship. Colleagues describe him as someone who transitions legacy systems to more efficient patterns while keeping tests and dependency hygiene front of mind.
4 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Macrofaculty of Automatic Control, Electronics and Computer Science, Master of Science (M.Sc.), Macrofaculty of Automatic Control, Electronics and Computer Science at Politechnika Śląska w GliwicachEngineer's degree, Macrofaculty of Automatic Control, Electronics and Computer Science, Engineer's degree, Macrofaculty of Automatic Control, Electronics and Computer Science at Politechnika Śląska
Github Skills (10)
lib10
pytest10
python10
data-processing10
xlrd9
json8
sqlalchemy8
database7
databases7
database-api7
Programming languages (1)
Github contributions (5)
petl-developers/petl
Oct 2021 - Aug 2022
Python Extract Transform and Load Tables of Data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 25 reviews, 33 commits in 10 months
Contributions summary:Artur made significant contributions to the `petl` library, focusing on enhancing its functionality and maintainability. They implemented generator support for the `fromdicts` function, enabling more efficient data processing. The user also addressed bugs and improved existing features, such as passing arguments to the xlutils_view and closing connections in DbView. Furthermore, they updated dependencies and refactored test suites.
datacleaningetlpythontransform
arturponinski/petl
Oct 2021 - Aug 2022
Python Extract Transform and Load Tables of Data
Contributions:37 pushes, 14 branches in 10 months
datacleaningpythondata-explorationtransform
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