Rafael Ribeiro is a Senior Data Engineer with 8 years of hands-on experience building and operating cloud-native data platforms across Brazil. He has shipped end-to-end ELT pipelines, real-time ingestion, and observability stacks using BigQuery, Databricks, Spark, Airflow, DBT, Kafka, Prometheus and Grafana, and modernized legacy systems across Azure, GCP and AWS. Comfortable coding in Python and Go, he has applied solid software engineering practices—CI/CD, testing, hexagonal architecture and Kubernetes deployments—to improve developer ergonomics and platform reliability. At Quanto and other companies he designed medalion/warehouse schemas, implemented CDC and streaming ingestion, and automated secrets, deployments and monitoring for production-grade data workflows. Now at Bitybank after building an Internal Developer Platform and APIs for SRE teams, he combines data engineering depth with platform and API development experience to bridge data consumers and infrastructure. Colleagues describe him as pragmatic about observability and governance, often turning messy integration work into well-documented, testable pipelines.
8 years of coding experience
4 years of employment as a software developer
Bachelor Compute Science, Bachelor Compute Science at Federal University of Rio Grande do Sul
Contributions:327 commits, 2 PRs, 7 pushes in 1 month
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