João Borges is a Data Engineer with 12 years of experience specializing in GCP, scalable data pipelines, and cost-optimized analytics for large enterprises. He has a proven track record—most recently at Ford via MATH Group—of cutting BigQuery costs and query times by up to 60% and saving over $100K/year through performance and architecture improvements. Comfortable across Python, Go, Dataflow, BigQuery, Pub/Sub and Kubernetes, he also built real-time data collectors, observability with OpenTelemetry, and automation tools that removed manual processes. His background spans research-grade ETL and voice chatbot deployment to entrepreneurial full‑stack product builds, demonstrating a rare blend of academic rigor and hands-on startup practicality. Based in Ceará, Brazil, João brings both operational discipline and a maker’s mindset, often turning infrastructure challenges into reusable tooling that boosts team productivity.
12 years of coding experience
8 years of employment as a software developer
Pós-graduação Stricto Sensu - Mestrado Acadêmico, Informática Aplicada - Ciência de Dados e Inteligência Artificial, Pós-graduação Stricto Sensu - Mestrado Acadêmico, Informática Aplicada - Ciência de Dados e Inteligência Artificial at Universidade de Fortaleza - UNIFOR
Bacharelado em Engenharia, Computer Engineering, Bacharelado em Engenharia, Computer Engineering at Universidade de Fortaleza
Contributions:9 pushes, 1 branch in 3 years 1 month
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