Data Engineer with 1 year of experience, successfully transitioning from a Finance background to the data world. With a degree in Industrial Engineering, I leverage my analytical foundation to build and optimize end-to-end data pipelines. I've demonstrated strong initiative in mastering Python, Azure Data Factory, SQL, and dbt Cloud to deliver robust solutions in Snowflake and Microsoft Azure environments.
End-to-end batch data pipeline using the GroupLens movie dataset. Runs 100% locally with open-source tools — no cloud account required. Medallion architecture with 8 dbt models, automated CI/CD, and 5 business dashboards.
- Medallion architecture (Raw → Staging → Mart)
- 8 dbt models with full test coverage
- 5 business dashboards in Apache Superset
End-to-end ELT pipeline ingesting data from multiple sources into a Snowflake data warehouse, with dbt models for transformation and Airflow for orchestration.
- Processing time reduced by 60%
- 50GB+ daily ingestion
- 99.9% pipeline uptime
- 🇧🇷Portuguese (Native)
- 🇺🇸English (Advanced)
- 🇪🇸Spanish (Intermediate)
Member of the Industrial Engineering Junior Enterprise at university, participating in consulting projects and organizational initiatives.
Member of Rotaract for 5 years — an international organization linked to Rotary that promotes youth leadership, professional development, and social impact projects.
