Summary
Marc Caparrós is a Lead Data Engineer with 11 years of experience building large-scale data ecosystems, currently designing decision-ready platforms for professional sports clubs at Gemini Sports AI. He combines academic rigor—a PhD in Information Systems for Sports and postdoctoral research on spatio-temporal player interactions—with hands-on roles architecting distributed processing, federated data spaces, and high-performance analytics pipelines. His background spans industry and research, from leading big-data architecture projects at Eurecat to operational data engineering for sports startups, enabling scouting, performance, and executive decision-making. Marc is adept at turning fragmented, multimodal sports data into actionable products and is exploring AI as a collaborative “data partner” rather than just a tool. A multilingual engineer based in Cologne, he brings both systems-level design and domain-specific research insights that few practitioners in sports tech possess.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Summa Cum Laude, Doctor of Philosophy - PhD, Computer Science, Summa Cum Laude at Deutsche Sporthochschule Köln
Master's degree, Business Intelligence Fundamentals, Master's degree, Business Intelligence Fundamentals at Université libre de Bruxelles
Master's degree, Large Scale Analytics, Master's degree, Large Scale Analytics at Technische Universität Berlin
UPC Universitat Politècnica de Catalunya
High School, Polytechnic specialization, High School, Polytechnic specialization at Institut Euclides
Master's degree, Computer Science, Master's degree, Computer Science at Erasmus Mundus programme in Big Data Management and Analytics
Catalan, Spanish, English, French, German