Fabio Badalì

Fabio Badalì is a seasoned data engineering professional with extensive experience in leading technical teams and projects. Currently serving as Staff Data Engineer at Cleo, Fabio developed the Espresso MLOps framework for deploying and monitoring machine learning models, as well as the Spritz streaming feature engineering solution. Prior experience includes a role as Technical Lead for the Data Platform at AXA Italia, where Fabio managed a team of nine in the ingestion of data from over 1,000 source databases. At Nokia, Fabio held dual roles as Analytics Architect and Analytics Engineer, focusing on machine learning platform development and model productionization. Initial career steps included data science at Yewno and a thesis role at General Motors. Fabio holds a Master’s degree in Computer Engineering from Politecnico di Torino and a Bachelor's degree in Computer Engineering from Università degli Studi di Palermo.