Summary
Javier Muñoz is a Senior Data Developer with nine years of experience blending mathematics and computer science to build production data platforms for chemical, pharmaceutical and scientific clients. Currently part of Merck’s Data & AI Office, he designs and implements enterprise use cases on Palantir Foundry while integrating AWS and Snowflake technologies and liaising directly with business stakeholders. His background in consultancy and R&D at BASF and Accenture gives him practical expertise in ontology modeling, governance, and supply-chain optimization pipelines that embed mathematical optimization into operational workflows. A strong technical generalist, Javier pairs hands‑on engineering (Python, PySpark, ETL, Foundry API) with growing management ambitions and a track record of training and leading teams. Curious and analytical by nature, he consistently adapts best practices from diverse industries to drive robust, business-aligned data solutions.
9 years of coding experience
4 years of employment as a software developer
ESO and Bachillerato, Science Baccalaureate, Baccalaureate: 10, Acces to university: 13.9/14, ESO and Bachillerato, Science Baccalaureate, Baccalaureate: 10, Acces to university: 13.9/14 at Alonso de Ercilla High School
Double Degree in Mathematics and Computer Engineering, Maths and Computer Engineering, 8,88, Double Degree in Mathematics and Computer Engineering, Maths and Computer Engineering, 8,88 at Complutense University of Madrid
English, French, Spanish