Danilo Giomo

At GEP Brasil, I build and support automation and data platforms that power around 300 active RPAs, maintain roughly 90% average uptime, and consolidate about 200 data sources and pipelines. I also developed NLP-based ETL pipelines that turn Brazilian regulatory documents into production-ready datasets with 97% extraction accuracy.

I've evolved high-volume data architecture, reduced pipeline latency by over 90%, and established Apache Airflow orchestration, CI/CD workflows, and governance standards. I work across Python, SQL, Snowflake, DBT, Airflow, cloud platforms, and event-driven pipelines to deliver auditable, scalable data products.