Summary
Gabriel Okamoto is a data and backend engineer based in São Paulo with a decade of professional experience and 4+ years focused on building scalable data pipelines and backend systems. He has driven significant product and cost efficiencies—e.g., scaling an app to 150k monthly users while cutting cache needs by 50% and accelerating query response times by up to 99%—and has shipped resilient microservices for image text extraction, real-time matching, and mass notifications. Comfortable across the stack, he combines SQL optimization, Python ETL (Prefect, Pandas), AWS serverless patterns, and DevOps practices to turn analytics into product improvements and measurable revenue gains. His background in mechatronics and mechanical engineering hints at strong systems thinking and a penchant for analytic problem solving that surfaces in both infrastructure and product metrics work. Currently contributing as a Data Engineer at Bold Metrics, he brings a pragmatic mix of performance tuning, reliable production deployments, and metric-driven product collaboration.
10 years of coding experience
4 years of employment as a software developer
Technischen Universität Darmstadt
Bachelor of Science - BS, Mechatronics Engineering, Bachelor of Science - BS, Mechatronics Engineering at Escola Politécnica da USP
English, German, Spanish, Portuguese