Summary
Roger Mateo is a Senior Data Engineer with eight years of experience building ML-driven data platforms and production pipelines across startups and enterprise environments. He combines a Computer Engineering degree and a Master in Data Science with hands-on expertise in Python, Airflow, Docker, Kubernetes, CI/CD and serverless AWS to deliver scalable ETLs, APIs and model lifecycle solutions. At Indoor Clima and Socialpoint he focused on increasing customer savings via AI, ensuring data quality and maintaining Kubernetes clusters for microservices-based deployments. Early work includes a cost-saving testing automation project at Lear and a large-scale web-domain classification pipeline that processed 100k+ sites during his university role. Comfortable leading small teams and shipping end-to-end solutions, he also contributes personal projects such as a public-subsidy scraper and has a track record of rapid prototyping in hackathons using cross-platform Flutter apps.
8 years of coding experience
6 years of employment as a software developer
Erasmus+ Ingeniería informática, Erasmus+ Ingeniería informática at Univerza v Mariboru
Bachillerato Científico Tecnologico, Bachillerato Científico Tecnologico at INS Gabriel Ferrater i Soler
Computer Science Degree Ingeniería informática, Computer Science Degree Ingeniería informática at Universitat Rovira i Virgili
UOC (Universitat Oberta de Catalunya)
Spanish, Catalan, English, French