Summary
Sascha Moccozet is a data engineer with eight years’ experience building data solutions across research, healthcare, and environmental domains, currently focused at elmy in Lyon. He combines academic depth—an Applied MSc in Data Engineering for AI and a master’s in Databases & AI—with hands-on experience deploying graph databases (Neo4J) and end-to-end tools for knowledge extraction at NIST and CERN. His background as a datamanager for clinical projects demonstrates strong data governance, GDPR-compliant pipelines, and collaboration with clinicians and regulators. Comfortable with both backend systems and data cleaning/validation, he has a track record of turning messy real-world data into production-ready datasets and tooling. An environmental focus threads through his work, reflecting a practical interest in applying data engineering to sustainability and domain-specific problems.
8 years of coding experience
2 years of employment as a software developer
2nd years after Bachelor, IT, 2nd years after Bachelor, IT at University Technology of Annecy
Bachelor, Information Technology, Bachelor, Information Technology at University of Savoy
Master Database and Artificial Inteligence, Data management and artificial inteligence, Master Database and Artificial Inteligence, Data management and artificial inteligence at University of Burgundy
Bachelor of Sciences (honours), Information Technology, Bachelor of Sciences (honours), Information Technology at Dundalk Institute of Technology
Applied MSc in Data Engineering for Artificial Intelligence, Data Engineering, Titre RNCP 34262 level 7 French« Expert in Data Sciences», Applied MSc in Data Engineering for Artificial Intelligence, Data Engineering, Titre RNCP 34262 level 7 French« Expert in Data Sciences» at Data ScienceTech Institute
English, French