Summary
Luis Peçanha is a Senior Analytics Engineer with a decade of experience delivering end-to-end data solutions across insurance, retail, energy, finance, and chemical manufacturing. He designs scalable pipelines and cloud-native architectures (GCP and Azure) and implements medallion-style data warehouses using tools like BigQuery, Databricks, dbt, and Airflow to improve reliability and reduce costs. Luis has a track record of simplifying overengineered systems—e.g., replacing costly orchestrations and Dataproc jobs with lean Cloud Functions and Pandas pipelines—leading to large drops in runtime and operational expense. He works closely with stakeholders to translate business needs into robust, governed data products and is exploring domain-driven design to improve data ownership and documentation. Comfortable across languages from Python and PySpark to Rust and Go, he combines hands-on engineering with a systems mindset cultivated from early robotics and embedded projects. Based in Brazil, he brings practical CI/CD and infrastructure experience (Terraform, GitHub Actions, Docker) to ensure analytic solutions are production-ready.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Information Systems, Bachelor's degree Information Systems at USP - Universidade de São Paulo
Escola Técnica de Eletrônica "Francisco Moreira da Costa"