Summary
Guilherme Rocha is a Senior Data Engineer based in São Paulo with nine years of experience building cost-efficient, scalable data platforms and production ML pipelines. He has led medallion data lake architectures on AWS and implemented Redshift warehouses with DataOps and CI/CD to cut time-to-data from days to hours, while establishing SLIs/SLOs and observability for reliable data products. At Globo he re-architected recommendation systems and introduced SRE practices that boosted pipeline reliability from 85% to 99% and reduced cloud costs by roughly 60%. His background spans ETL, anomaly detection, near-real-time analytics, and applied research in georeferenced data and optimization, evidencing both production rigor and academic depth. Fluent in Python, Spark, Airflow, Docker and cloud platforms (AWS/GCP), he combines hands-on engineering with team leadership and a knack for translating research-grade methods into operational solutions.
9 years of coding experience
7 years of employment as a software developer
Curso Técnico, Computer Programming, Specific Applications, Curso Técnico, Computer Programming, Specific Applications at HACKATRUCK IBM
University of São Paulo
Pontifical Catholic University of Paraná
English, Portuguese