Summary
Jhon León is a data engineer with a decade of hands-on experience building and operating ETL pipelines and analytical warehouses, currently driving data infrastructure at Factored using Airflow, Matillion, Redshift and Snowflake. He has a strong track record from PayU where he automated transactional data flows, dynamic report generation, and integrations with S3, SFTP and messaging systems while helping plan a migration to cloud-managed Airflow. Apache Airflow certification and a background in Java, Python and BI migrations give him both orchestration expertise and practical systems experience. Educated in systems engineering and trained in Big Data, AI and backend development, he pairs rigorous engineering with a curiosity for applied ML—evidenced by a PayU hackathon win on ML-driven approval rates. Based in Bogotá, he balances production-focused work with a competitive tennis habit that reflects his persistence and strategic mindset.
10 years of coding experience
3 years of employment as a software developer
Big Data y Data Science IA Desarrollo Backend con Python y Go Desarrollo con Wordpress Tecnología informática/Tecnología de sistemas informáticos, Big Data y Data Science IA Desarrollo Backend con Python y Go Desarrollo con Wordpress Tecnología informática/Tecnología de sistemas informáticos at Platzi
Artificial Intelligence Summer School Sumer School Scholarship of IA U Rosario U Andes and IACS of Harvard, Artificial Intelligence Summer School Sumer School Scholarship of IA U Rosario U Andes and IACS of Harvard at Universidad del Rosario
Degree in Engineering Systems Engineering, Degree in Engineering Systems Engineering at Universidad de Cundinamarca
Spanish, English