Florian Daniel is an Associate Data Engineer based in Brussels with 11 years of experience focused on machine learning, data engineering and analytics. He has built production data pipelines using Java, Python, Apache Airflow and AWS (EMR Serverless, MWAA) and recently joined Moody's Analytics after a multi-role stint at Vadis Technologies. His background includes hands-on work in maritime security research—developing unsupervised methods to detect similar vessel behaviours from AIS and satellite data—bringing strong experience in trajectory analysis and noisy geospatial data. Trained as an engineer in computer science and data science at Polytech Nantes with additional studies at Halmstad, he combines academic rigour with practical integration of models into processing chains and front-ends. Known for a pragmatic, sports-driven mindset, he thrives on turning complex data into reliable, automated workflows that support decision-making.
11 years of coding experience
3 years of employment as a software developer
DUT Informatique, Informatique, DUT Informatique, Informatique at IUT de Nantes
Baccalauréat Scientifique, Sciences et Vie de la Terre, Baccalauréat Scientifique, Sciences et Vie de la Terre at Lycée Charles Péguy, Gorges (44)
Information Technology programme, Information Technology programme at Halmstad University
Engineer degree, Computer Science & Data science, Engineer degree, Computer Science & Data science at Polytech Nantes
Contributions:8 commits, 5 PRs, 6 pushes in 1 year 1 month
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