Summary
Emilio Haro is a Data Engineer at Philips with over a decade of IT experience, evolving from SAP support and consulting to designing scalable data lakes and automated ETL solutions in Databricks. He blends hands-on engineering with data governance experience gained as an IT Business Analyst and Data Steward, ensuring data quality and compliance while optimizing for performance and cost. At Philips he integrates AI services like the OpenAI API for translation, mapping and analysis, turning complex transformations into clear visualizations that drive marketing insights. Trained in computer engineering and data science, he pairs strong systems and SAP background with modern data architecture skills, and even pursues visual storytelling through professional photography studies—bringing a pragmatic, user-focused perspective to data products.
10 years of coding experience
3 years of employment as a software developer
Superior Course in Professional Photography and Post-production, Superior Course in Professional Photography and Post-production at TOO MANY FLASH
Bachelor of Science (BSc), Computer Engineering (3-year degree), Bachelor of Science (BSc), Computer Engineering (3-year degree) at Universidad de Castilla-La Mancha
Master of Science (MSc), Data Science, Master of Science (MSc), Data Science at Universidad de Alcalá
UOC (Universitat Oberta de Catalunya)
Study abroad program (Erasmus), Computer Engineering, Study abroad program (Erasmus), Computer Engineering at Universitetet i Bergen (UiB)
Spanish, English