Summary
Miguel Fernández-bermejo is a Big Data engineer and educator with 10 years of experience designing scalable data architectures, ETLs with Spark, and web-scraping pipelines for production use. He leads data engineering at MACC Residencial while teaching Python programming and NoSQL/analytics courses across masters programs and sports-focused data academies, bridging industry practice with academia. His work spans cloud data platforms (BigQuery, GCP), containerized deployments, and applied projects in sports analytics—collaborating with Movistar Estudiantes and co-directing a basketball-focused big data course. Comfortable from low-level API scripting to Spark SQL and ML workflows, he combines hands-on engineering with curriculum design to translate complex data problems into teachable, production-ready solutions. A practical researcher by training, he has also developed cyberthreat-detection analytics and custom tooling using Dask, Flask and scikit-learn.
10 years of coding experience
6 years of employment as a software developer
Máster Oficial en Analítica de Grandes Volúmenes de Datos Big Data, Máster Oficial en Analítica de Grandes Volúmenes de Datos Big Data at Universidad de Alcalá
Máster en Big Data Deportivo II Edición Big Data and Sports, Máster en Big Data Deportivo II Edición Big Data and Sports at UCAM Universidad Católica San Antonio de Murcia
Máster en Big Data & Bussiness Analytics Ingeniería informática, Máster en Big Data & Bussiness Analytics Ingeniería informática at CIFF Business School
Spanish, inglés (british council b2.1)