Summary
Bernardo Paulsen is a data engineer and economist with eight years of experience building scalable data infrastructure and analytical pipelines in cloud environments, currently focused on Airflow, DuckDB and Snowflake. With a master’s in economics and a background in quantitative finance research, he blends rigorous econometric methods with production-grade engineering to deliver reproducible, well-documented data products. He has designed internal Python libraries and standardized team practices to accelerate engineering workflows and ensure reliability across cross-functional stakeholders. Previously he developed high-frequency trading tools, econometric studies on political information and asset prices, and automated macroeconomic reporting pipelines—showing a rare combination of trading, research and infrastructure experience. Based in Rio Grande do Sul, Brazil, he brings both academic depth and pragmatic software craftsmanship to complex data problems.
8 years of coding experience
Mestrado Profissional, Economia, Mestrado Profissional, Economia at Universidade Federal do Rio Grande do Sul