Summary
Sylvio Rubens is a data engineer based in São Paulo with nine years of experience building end-to-end data products across automation, BI, data science and engineering. He has led technical teams to design scalable, automated pipelines and ML-driven agents using Airflow, LangChain, DialogFlow and BigQuery, and routinely delivers high-frequency data ingestion and hourly-updated dashboards. His background in control and automation engineering and hands-on robotics leadership gives him an uncommon edge in systems integration, optimization and real-time processing. Comfortable shipping production APIs and RPA in Python, he blends mathematical modeling and operational research with practical dashboarding (Plotly, Power BI, Tableau) to turn data into fast, actionable insights. Currently driving data engineering at Advanced Corretora, he is passionate about automating tasks and continuously learning new ML and orchestration tools.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Control and Automation Engineering, Bachelor’s Degree, Control and Automation Engineering at FEI
Postgraduate Specialization (Lato Sensu), Data Engineering, Postgraduate Specialization (Lato Sensu), Data Engineering at PUC Minas
Technical Degree, Mechatronics, Technical Degree, Mechatronics at Senai São Paulo
English