Antoine Ferszterowski is a Staff Data Engineer based in Paris with eight years of experience building modern data platforms and ML-infused systems across banking, fintech, and industrial projects. He has led migrations to modern data stacks (Snowflake, dbt, Airflow) and scaled ETL and streaming workflows that process tens of millions of events per day while owning CI/CD, data quality, and observability. Comfortable in both cloud and on-prem Hadoop ecosystems, he pairs strong engineering (Scala, Spark, Python) with production-first practices from his time as tech lead at SGCIB and senior roles at Critizr and Swan. He also teaches part time at ESME, supervising student projects in Big Data and Robotics, which keeps him connected to research and hands-on mentorship. Early work in robotics and computer vision gives him a practical ML sensibility beyond typical data engineering — he co-authored a conference paper on physiological signal analysis. Known for bridging academic rigor and delivery, he excels at turning complex data requirements into reliable, automated pipelines.
8 years of coding experience
6 years of employment as a software developer
Griffith College Cork
Engineer's degree, Signal processing, Engineer's degree, Signal processing at ESME, école d'ingénieurs généraliste
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