Fabio Valonga is a Data Engineer with 11 years of tech experience, currently working at iFood after leading data engineering teams and architectures across AWS, Azure and GCP. He blends a lab-trained, analytical background in chemistry with deep hands-on skills in PySpark/Delta Lake, Databricks/EMR, data lakes and cost-optimized streaming pipelines, having built a historical pipeline that ingested over 1PB of data. Fabio regularly mentors engineers, defines reusable frameworks and CI/CD practices, and has a track record of reducing cloud costs through cluster and pipeline optimization. His roots as a full‑stack developer and automation tester mean he’s comfortable shipping REST APIs, microservices and end-to-end data products, and he often bridges ML/NLP work into production pipelines. Not obvious from job titles: he started in chemistry QA and lab automation, which informs his pragmatic approach to data quality and observability.
11 years of coding experience
6 years of employment as a software developer
Técnico em Química Tecnologia em Química, Técnico em Química Tecnologia em Química at ETEP - Escola Técnica de Paulínia
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
Contributions:10 PRs, 34 pushes, 6 branches in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.