Summary
Gabriel Teotonio is a data engineering leader with eight years of experience building high-throughput pipelines and production data products, currently coordinating a team at Incognia from Madison, WI. He combines a strong statistical foundation (BSc in Statistics, MS in Computer Science) with hands-on expertise in Spark, Trino, and dbt to cut processing times and multiply throughput while enforcing data quality and security. His background as a data scientist includes deploying fraud-detection models that slashed ride-hailing fraud by 90% and account takeover by 98%, reflecting a rare blend of modeling acumen and productionization skills. Gabriel is comfortable translating stakeholder needs into scalable architectures, prototyping end-to-end systems in agile settings, and defining best practices for storage and synchronization at scale. Colleagues know him for staying technically involved while leading, and for driving measurable business impact—he’s credited with data solutions that directly increased revenue and operational reliability.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Centro de Informática UFPE
Technical's degree Business Administration and Management General, Technical's degree Business Administration and Management General at Escola Técnica Estadual José Alencar Gomes da Silva
Bachelor's degree Statistics, Bachelor's degree Statistics at Universidade Federal de Pernambuco
High school, High school at Taita College
Portuguese, English