Summary
Pablo T is a software engineer with nine years of experience building data platforms and MLOps infrastructure across fast-moving e-commerce and logistics environments. He has driven end-to-end data solutions—from ingestion and ETL to query engines and notebook services—at companies like Glovo, iFood and LEVEE, often operating Kubernetes, Redshift/Trino, Airflow and SageMaker in production. Pablo combines strong engineering craftsmanship (PySpark, Python, AWS) with product-minded data modeling and governance, having refactored core datasets and internal libraries to improve reliability and analyst productivity. He also focuses on team practices and developer experience, introducing scrum, pair programming and testing cultures to increase delivery quality and happiness. Based in Spain with a background in Computational and Applied Mathematics, he brings a pragmatic blend of analytical rigor and operational know-how to bridge data science and platform engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computational and Applied Mathematics, Bachelor's degree Computational and Applied Mathematics at Universidade Estadual de Campinas
Portuguese, English, Spanish, Catalan