Nicolas Bonnotte
Senior Software Developer at Back Market
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolNicolas Bonnotte is a Senior Software Developer based in Paris with 11 years of experience building robust back-end systems, currently focusing on Python at Back Market. He combines a rigorous academic background in mathematics (ENS, PhD-level studies) and an MBA with hands-on engineering, bridging data science, automation, and production-grade software. Previously he led an algorithms/data team and served as CTO at a mobility startup, delivering data pipelines, geospatial solutions, and CI-driven automation. An active contributor to pandas—fixing tricky groupby, multi-index and to_sql issues—he brings deep practical knowledge of data manipulation and time-series reliability. Colleagues rely on him for pragmatic abstraction, reproducible workflows (Docker, Jupyter) and turning complex data problems into maintainable systems.
11 years of coding experience
3 years of employment as a software developer
Mathematics, Mathematics at Ecole normale supérieureMaster of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at Collège des IngénieursDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Paris-Sud University (Paris XI)Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Scuola Normale Superiore
Github Skills (7)
testing10
pandas10
python10
data-analysis10
numpy9
data-science8
sql8
Programming languages (7)
Github contributions (5)
pandas-dev/pandas
Nov 2015 - Oct 2016
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:14 commits, 21 PRs, 203 comments in 11 months
Contributions summary:Nicolas primarily contributed to bug fixes and enhancements within the pandas library. Their work involved addressing issues related to data formatting, multi-index handling, and the `to_sql` function, indicating a focus on data manipulation and output. They also tested and improved existing functionalities, particularly concerning the `groupby` operation and time series data handling. These contributions suggest a strong understanding of the library's core features and the importance of reliable data processing.
data-analysisdata-structuredata-structurespythonpandas
backmarket-oss/dac7
Nov 2024 - Jul 2026
Tools to make it easier to build and validate DAC7 declarations
Contributions:7 releases, 50 reviews, 76 PRs in 1 year 7 months
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