Summary
Flávio Pangrácio is a Senior Data Engineer from Minas Gerais with five years of experience building scalable cloud data platforms at Tembici. Trained as an economist and currently pursuing a master's in regional economics at UFMG, he blends quantitative rigor with practical data engineering—designing pipelines, data quality systems, and in-house libraries to optimize cloud performance. His hands-on stack includes BigQuery, Dataflow SQL, Dataproc/PySpark, Cloud Run, Composer/Airflow and Pub/Sub, reflecting deep expertise in Google Cloud native tooling. Comfortable spanning analytics and engineering, he brings an economist’s mindset to feature engineering and measurement, enabling data-driven decisions for mobility services. Despite a compact GitHub footprint, his career shows a pattern of automating repetitive tasks and improving reliability at scale.
5 years of coding experience
4 years of employment as a software developer
Bolsista Matemática Aplicada, Bolsista Matemática Aplicada at IMPA
Técnico Informática, Técnico Informática at Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas
Bacharelado em Ciências Econômicas Economia, Bacharelado em Ciências Econômicas Economia at Universidade Federal de Viçosa
Mestrado em Economia Economia, Mestrado em Economia Economia at Universidade Federal de Minas Gerais
Development Full Stack: Node.js ReactJS and React Native Ciência da Computação, Development Full Stack: Node.js ReactJS and React Native Ciência da Computação at Rocketseat