Summary
Rodrigo Santos is a Senior Data Engineer with 8 years of experience building scalable data platforms across fintech, healthcare, and AI-focused startups in Brazil. He designs and optimizes production pipelines using Python, Spark, Airflow, dbt and cloud services (GCP, AWS) to improve performance, observability and feature engineering for ML. Rodrigo has led feature store and model deployment initiatives, tuned Redshift and BigQuery warehouses, and implemented data quality and governance frameworks that reduced operational friction for analytics teams. Currently he applies LLM-powered data stacks to accelerate patient-trial matching at Trially, blending ML-driven product work with robust engineering practices. Known for moving projects from legacy ETL to serverless and containerized architectures, he combines hands-on coding with pragmatic system design to deliver auditable, production-ready data solutions.
8 years of coding experience
7 years of employment as a software developer
Machine Learning Engineer Machine Learning, Machine Learning Engineer Machine Learning at Udacity
Bacharelado Sistemas de Informação, Bacharelado Sistemas de Informação at Federal University of Technology - Parana
English, Portuguese, Spanish