Pedro Feitosa is a software engineer with a decade of experience building cost-efficient, data-heavy distributed systems and a BSc in Computer Science. He has led teams and projects that scaled event ingestion from millions to billions of daily events while cutting cloud spend through architecture refactors, microservices, and event-driven designs. A strong advocate for Go, Kafka, and containerized deployments, he shapes shared components, runs internal meetups, and drives operational improvements around partitioning and consumer resilience. His recent work centers on data ingestion and streaming platforms—combining Spark, Delta Lake, Airflow, Debezium and Kafka—to provide self-serve, observable pipelines for hundreds of data sources. Comfortable across Linux, Kubernetes and multiple cloud providers, he pairs systems-level curiosity with data engineering rigor to govern access, immutability and cost-aware extraction. Based in Paraíba, Brazil, he quietly bridges software craftsmanship and platform thinking to deliver resilient, pragmatic solutions that scale.
10 years of coding experience
10 years of employment as a software developer
Bacharelado em Ciências da Computação Computer Science, Bacharelado em Ciências da Computação Computer Science at Centro Universitário de João Pessoa
Contributions:2 pushes, 1 branch in 4 years 4 months
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