Summary
Rafael De Castro is a Data Engineer with 8 years of hands-on experience building ETL pipelines and scalable data solutions using Python, SQL, Apache Spark/PySpark and Databricks. He progressed from web and Ruby development into data engineering, bringing a strong software engineering mindset to data quality, performance optimization, and cross-functional collaboration. Rafael holds a Master’s in Computer Science and an MBA-like focus on AI, Data Science and Big Data, enabling him to bridge research concepts and production systems. At CERC he implemented production Spark pipelines and supported ML model integration, and he now applies that expertise at Docket to drive analytics-ready data platforms. Colleagues describe him as steady under pressure—aptly reflected by his favorite quote about calm seas—and focused on future trends in data engineering. Based in Paraná, Brazil, he combines academic depth with pragmatic delivery across the full data lifecycle.
8 years of coding experience
3 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Federal University of Paraná