Cases
Migration of the finance data warehouse to a modern Databricks architecture, implementing Medallion Architecture and best practices for Software Engineering with CI/CD pipelines, unit tests, integration tests, Python packages, and pull requests.
Pioneered the introduction of Spark/Databricks. Orchestrated the migration of one of the most critical systems from Hadoop/EMR to Spark/Databricks, achieving an 80% reduction in costs and execution time. Proof of concepts with LLM models.
Fraud Monitoring and Analysis in the Legal Sector. Cost Management of service usage across all company projects on Azure platforms. Developed the Log Analytics project using data from the 4th Platform project (Service Hub) and Streaming concepts.
Developed a real-time monitoring solution for a fleet of 6,500 buses, processing over 7 million daily transmissions. This solution is used by the Control Operations Center of the Metropolitan Urban Transport Company and more than 60 garages, also providing critical information to 1.5 million system users..