Summary
Paulo Campolina is a software and data engineer with nine years of experience building scalable ETL pipelines, data quality validations, and automation at Bloomberg, where he designs flexible schemas and drives data standardization for physical assets and geo datasets. He combines strong Python, SQL, and NoSQL skills with a background in electrical engineering and renewable energy to deliver business intelligence and product-grade data services for energy, commodities, and economics use cases. Across roles he has led migrations to NoSQL, automated QA with microservices, and created human-in-the-loop workflows that improve accuracy and timeliness for internal and external users. His early engineering work in automation and energy systems gives him a practical systems-thinking approach to data problems that few data engineers possess. Based in New York, he brings a pragmatic mix of research-driven rigor and production-focused delivery, with a penchant for elegant, automated solutions (his GitHub bio nods to Pythonic design: ">>>import this").
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at PUC Minas
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Centro Federal de Educação Tecnológica de Minas Gerais
High School Diploma, High School Diploma at CSA | Colégio Santo Antônio
Master of Science - MS Electrical Electronics and Communications Engineering, Master of Science - MS Electrical Electronics and Communications Engineering at Universidade Federal de Minas Gerais
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Lakehead University
Portuguese, English, Spanish