Summary
Gabriel Teixeira is a data engineer with eight years of experience combining economics and a master's-level training in applied mathematics to build robust data platforms using Python, PySpark, Azure and SQL. He has moved from research roles at UFMG—working on COVID-19 analytics and public-sector analytic capacity projects—into production data engineering roles at dti digital and currently Inter. Gabriel blends strong quantitative instincts (econometrics, causal inference, time series) with hands-on ETL and cloud engineering, allowing him to translate complex statistical problems into scalable pipelines. Based in Minas Gerais, Brazil, he brings an academic rigor to production systems and a track record of rapidly progressing from intern to pleno engineer. An understated strength is his multidisciplinary background, which helps him bridge data science, software engineering and domain-driven problem solving.
8 years of coding experience
4 years of employment as a software developer
Bacharelado, Sistemas de Informação, Bacharelado, Sistemas de Informação at Universidade Federal de Minas Gerais
English, Portuguese