Building data pipelines, architecting solutions and embracing my inner nerd.

With a 6-year journey in the tech world, my day-to-day is transforming complex architectures into data flows that actually work. I’m addicted to solving integration puzzles and ensuring that every bit of information has governance, security, and high availability.

• Postgraduate student in Data Architecture (PUC Minas) and B.S. in Computer Engineering (UTFPR)
• Data Architecture: Designing scalable solutions for data transport, Data Lakehouse strategies, and Governance models
• Integration Architecture: Designing complex service buses, API governance, and messaging strategies for cross-system communication
• Data Engineering & DataOps: Building ETL/ELT pipelines, deployment automation, and continuous monitoring of the data lifecycle
• Data Science & Obs: Applying statistical models and telemetry monitoring to ensure data health and business value

                             

• Data Science & Analytics: Development of predictive models, exploratory analysis, and intelligent automation with AI tools (Azure AI/OCR).
• Observability (Full-Stack): Implementation of distributed telemetry, performance dashboards in Grafana/Datadog, and log analysis.
• Data Engineering: Development of pipelines for large-scale data orchestration using PySpark, Scala, and SQL.
• DataOps: Implementation of a monitoring culture, automated testing, and CI/CD to ensure the integrity of analytical environments.
• Backend & Integrations: Development of APIs (.NET/Java) and messaging flows for consistency across domains in hybrid clouds (Azure/AWS).