Summary
Francisco Esteves is a Data Engineer based in Lisbon with eight years of experience building cloud-native data platforms and leading migrations from on-prem ETL to AWS and Azure. He combines an Electrical and Computer Engineering background with hands-on expertise in Scala/Spark, Python, AWS Glue, Lambda, Iceberg, Delta Lake and Databricks to optimize high-volume data pipelines and architectures. At Deloitte he led cross-functional teams on multi-petabyte migrations and performance-focused refactors for automotive, telecom and energy clients; he now applies that production-grade data engineering experience at Efficio. A researcher-trained practitioner, he also spent recent time on biomedical deep learning for image segmentation and classification, bridging ML research and scalable data engineering. Known as a programmer and designer, he brings both implementation discipline and an eye for maintainable, efficient system design.
8 years of coding experience
Indian Institute of Technology Madras
Master's Degree Electrical and Computer Engineering, Master's Degree Electrical and Computer Engineering at Instituto Superior Técnico
English, French, Portuguese