Summary
Fabio Marconso is a data engineer with eight years of experience building scalable ingestion and transformation pipelines for public health research at Fiocruz. Trained as a biologist, he blends domain knowledge with strong Python engineering practices—versioning, automated testing and observability—to deliver reliable data products and reproducible workflows. He designs and operates ETL pipelines with Airflow and BigQuery, and builds user-friendly desktop tools (pdd_desktop, pyBIS) that let non-technical researchers access, filter and download complex datasets without coding. Comfortable with heterogeneous sources (APIs, Elasticsearch, web scraping, FTP), he focuses on data quality and automation to accelerate evidence-based decisions. Colleagues value his multidisciplinary collaboration style and his knack for turning research requirements into practical, production-ready data solutions.
8 years of coding experience
3 years of employment as a software developer
Bacharelado e Licenciatura, Biology/Biological Sciences, General, Bacharelado e Licenciatura, Biology/Biological Sciences, General at Universidade Federal de Rondônia