Summary
Óscar Castillo is a Mid Data Engineer based in Mexico City with 10 years of experience building ETL, real-time pipelines and BI solutions across finance and e-commerce. He has delivered measurable impact—migrating batch catalog jobs to near real-time and cutting promotion processing times by 60%—and has driven automation and monitoring that reduced delivery times and improved data quality. Comfortable across PySpark, AWS (Glue/EMR/S3/Athena), Tableau and orchestration tools, he pairs hands-on engineering with a teacher’s mindset, currently lecturing on algorithms and operating systems at UNAM. His background ranges from Hadoop-era data lake work to modern cloud pipelines and dataviz documentation, and he consistently emphasizes clean, readable code and reproducible processes. Notably, he has applied data engineering to humanitarian needs, automating client support workflows after Hurricane OTIS, showing a practical commitment to using data for real-world outcomes.
10 years of coding experience
4 years of employment as a software developer
Computer Engineer, Computer Engineering, Computer Engineer, Computer Engineering at Facultad de Ingeniería de la UNAM
Universidad Nacional Autónoma de México (UNAM)
Creando Capacidades empresariales en gestión de datos, Tecnología en la gestión empresarial/Procesamiento de datos, Creando Capacidades empresariales en gestión de datos, Tecnología en la gestión empresarial/Procesamiento de datos at Soluciones Software Inteligente
Spanish, English, German