Summary
David Pombal is a seasoned DW/BI consultant and sports-focused data scientist with 12 years of experience designing data marts, ETL pipelines, OLAP cubes and front-end analytics for enterprise clients. Based in Madrid, he blends hands-on expertise in Pentaho/Kettle, MDX/OLAP and columnar DBs with advanced visualization and training in Power BI and Tableau, and teaches a UCAM-certified Master in Sports Big Data that integrates Opta and other sports providers. He has delivered BI solutions across industries (Unilever, Ericsson, financial services) and contributes to publishing as a technical developmental editor, helping shape books and courses in data technologies. Comfortable across the stack—from Pentaho ETL to OLAP schemas and MDX—he also applies R and Python for applied machine learning in sports analytics. A less obvious strength is his dual role as practitioner and educator, which lets him translate complex BI architectures into practical, teachable workflows that accelerate adoption.
12 years of coding experience
3 years of employment as a software developer
Computer Science Bachelor´s Degree for 3 years, Systems, Computer Science Bachelor´s Degree for 3 years, Systems at University of Oviedo
Introducción a la Inteligencia Artificial, Inteligencia Artificial, Introducción a la Inteligencia Artificial, Inteligencia Artificial at Stanford University
Spanish, English