Rômulo Schiavon is a Data Engineer II with two years of hands-on experience building and optimizing end-to-end data pipelines, primarily on GCP, and a Computer Engineering degree from UFSC. He routinely works with Python, Airflow, dbt, Spark, Kafka and infrastructure-as-code tools like Terraform, Docker and Argo to deliver scalable, cost-efficient ETL and data-warehouse solutions. At CloudWalk and Petlove he built pipelines that processed 10+ TB/day, led a 400% Spark performance uplift during a cloud migration, and developed automation integrating Slack, Pub/Sub and AI components. He combines practical data engineering with a background in data science research—exploring knowledge graphs and vector DBs—to better align models and pipelines for real business impact. Rômulo mentors juniors, values clear communication, and proactively tackles technical debt to raise code and documentation quality. He’s pragmatic about tooling choice, experimentally adopting AWS when useful but specializing in GCP for production reliability.
2 years of coding experience
1 year of employment as a software developer
Bacharelado em Engenharia, Engenharia de Computação, Bacharelado em Engenharia, Engenharia de Computação at Universidade Federal de Santa Catarina
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Rômulo Schiavon - Engenheiro De Dados II at CloudWalk, Inc.