Computer Science student at CESAR School and Audit, Risk & Compliance Intern at Amarante.

I work at the intersection of data, automation, audit analytics and data quality, building Python and SQL routines to transform manual corporate processes into more structured, traceable and auditable workflows.

Currently focused on:

• Data Quality & Data Engineering
• Audit Analytics & Digital Assurance
• Process Automation
• Internal Controls & Risk
• Python, SQL and reliable data pipelines

I also build portfolio projects around Continuous Controls Monitoring, evidence lineage, run manifests and data validation.

I have submitted issue fixes to data quality tools such as Soda Core and Great Expectations, focusing on:

• Data contracts
• JSON Schema validation
• SQL expectation behavior
• Regression testing
• Reliable data validation

• Data Engineering
• AWS & Cloud fundamentals
• Spark / PySpark
• Databricks
• dbt
• Medallion Architecture
• CI/CD for data workflows