David Pombal
Profesor Máster Big Data Deportivo
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDavid 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 OviedoIntroducción a la Inteligencia Artificial, Inteligencia Artificial, Introducción a la Inteligencia Artificial, Inteligencia Artificial at Stanford University
Spanish, English
Stackoverflow
33reputation
7kreached
0answers
9questions
Github Skills (72)
pdi9
plugin9
transition9
marketplace9
animation8
clustering8
regression8
metadata8
animated8
hosts8
classification8
stream7
pentaho7
anomaly-detection6
addin6
Programming languages (6)
Github contributions (5)
davidfombella/Tracking_Data_R
Jun 2019 - Jul 2019
Contributions:26 commits, 24 pushes, 1 branch in 1 month
davidfombella/ggsoccer
Feb 2019 - May 2019
Plot soccer event data in R/ggplot2
Contributions:9 commits, 9 pushes in 3 months
r-packageggplot2plotrstatssoccer
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