Summary
Nicolas Parot-alvarez is a Senior Data Engineer with nearly a decade of experience designing and shipping robust data platforms across Paris and Tokyo, currently building Risk and Marketing infrastructure at Paidy. He combines hands-on ETL and pipeline refactoring (Python, Spark, SQL, Delta Lake, Prefect, Kafka) with data architecture and platform migrations, notably planning a Hadoop-to-GCP move at Rakuten and modernizing regulatory market surveillance infrastructure at CRE. Comfortable across cloud and on-prem stacks (GCP, AWS, Hadoop) he focuses on data quality, dependency-aware platform design, CI/CD and observability to shorten cycles and reduce production issues. His background in physics and experimental optics (MSc in Planetary Science, experience at Subaru and LESIA) informs a rigorous, experimental approach to systems and tooling. Outside of engineering he brings long-term discipline and teaching experience as a karate instructor and non-profit board member, reflecting a collaborative, cross-cultural mindset and interest in open science and world citizenship.
9 years of coding experience
6 years of employment as a software developer
Baccalauréat Scientifique - Spécialité Mathématiques, Sciences, Baccalauréat Scientifique - Spécialité Mathématiques, Sciences at Lycée Notre Dame de Boulogne Billancourt
B.Sc. (L3 and M1), Fundamental Physics, B.Sc. (L3 and M1), Fundamental Physics at Université Paris-Saclay
M.Sc., Planetary Science and Space Exploration (M2), M.Sc., Planetary Science and Space Exploration (M2) at Sorbonne Université
Certification, Big Data / Data Science, Certification, Big Data / Data Science at FITEC (Big Data certification)
“Classes préparatoires” (two preparatory years for entry to scientific careers), Physics and Mathematics, “Classes préparatoires” (two preparatory years for entry to scientific careers), Physics and Mathematics at Icam - Institut Catholique d'Arts et Métiers
French, English, Spanish, Japanese