Fernando Escolar is a Data Engineer and Software Crafter with 11 years of experience building cloud-native data platforms and ETL pipelines, currently delivering robust solutions at BBVA Technology en Europa. Grounded in Electrical and Electronics Engineering, he blends analytical rigor with practical cloud expertise—particularly Azure, Docker, Databricks, Python and PySpark—to streamline data workflows for multinational clients. His background includes architecting Azure infrastructure and operationalizing data processes at Avanade, plus hands-on work at Bluetab where he combined data science, engineering and TDD-led practices to improve marketing insights and internal tooling. Fernando is finishing a Master in Artificial Intelligence, reflecting a continuous drive to fuse advanced ML techniques with production-grade data engineering. An underrated strength is his experience teaching testing and best practices, which helps teams adopt sustainable, auditable development habits.
11 years of coding experience
3 years of employment as a software developer
Master of Artificial Intelligence Computer Science, Master of Artificial Intelligence Computer Science at UNIR | Universidad Internacional de La Rioja
Charles III University of Madrid (Universidad Carlos III de Madrid)
Contributions:9 releases, 10 commits, 20 pushes in 1 year 5 months
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