Belo Horizonte, Minas Gerais, Brazil
4+ years of experience in data analytics and analytics engineering: - Work experience designing and maintaining ELT pipelines with dbt and Dataform on BigQuery; - Work experience in Data Visualization (Looker Studio, Power BI, Tableau); - Work experience in advanced SQL and Python (Pandas, Scikit-learn) for data transformation and analysis; - Work experience in testing and statistical analysis for business decision-making; - Work experience with Google Cloud Platform (BigQuery, GCP) and AWS; - Work experience in financial markets and crypto assets (regulated markets in Brazil and Europe); - Bachelor in Production Engineering by Universidade Federal de Ouro Preto (UFOP). I'm always open to exchanging ideas and discussing new challenges. Let's connect!
Led the migration and optimization of the company's entire data pipeline infrastructure, moving from Terraform-based pipelines to Dataform on BigQuery — implementing incremental tables that significantly reduced processing costs on datasets exceeding 50GB. - Rebuilt data pipelines from scratch alongside the team, owning the full Dataform migration and optimizing model structure with incremental logic; - Maintained company-wide data models consumed by most teams, powering dashboards tracking core business metrics: shareholder count, AUM, and net new money; - Ensured data reliability across the analytics layer, supporting both strategic leadership and team-level analysis. Stack: Dataform · dbt · BigQuery · SQL · Python · Looker Studio · GCP
Scaled the analytics function across the company, building 50+ dashboards for cross-functional teams and leading data quality improvements that made large datasets viable for regular analysis. - Delivered dashboards and reports for all major business areas, including shareholder analytics, AUM tracking, crypto price correlation, and cash flow trends; - Reduced querying costs on 50GB+ shareholder tables by implementing incremental table strategies; - Integrated Python (Pandas, Scikit-learn) with SQL workflows to produce machine learning-driven insights on churn and fund performance. Stack: Python · SQL · BigQuery · Looker Studio · GCP
Joined as an intern and immediately contributed to two meaningful projects that shaped my path into analytics engineering. - Built Crypto Metrics, a comprehensive dashboard tracking key on-chain and market indicators for Bitcoin, Ethereum, and stablecoins using Messari API data; - Conducted a market study on crypto ETP trading volumes across European markets to inform product positioning strategy; - Developed Bloomberg data pipelines from scratch, laying the groundwork for structured financial data ingestion. Stack: Python · SQL · BigQuery · Looker Studio
First data role — where I learned to translate business problems into structured analysis. - Applied clustering models in Python to segment 100+ gas station clients by behavioral profile, enabling the Customer Success team to personalize their approach and improve retention strategies; - Built interactive Power BI dashboards to track loyalty campaign performance and support commercial decisions; - Collaborated closely with the CS team to turn data insights into actionable loyalty program improvements. Stack: Python (Scikit-learn) · Power BI · SQL