At Global Hitss Brasil, allocated to Caixa Econômica Federal, I migrated analysis of more than 500,000 Control-M jobs from on-premises procedures and Python to PySpark on Azure Databricks, reducing critical processing time by about 80–90%. I also built a medallion-architecture lakehouse that reports daily on batch jobs in degradation and identifies the source of each delay.
I’ve also worked across database engineering and data pipelines, from developing procedures and optimizing queries at 2D Consultores and Fadami - Software & Innovation to maintaining compliance data loads and implementing PIX monitoring at FIRA Intelligence Management. At Caixa Econômica Federal, I mentored two early-career colleagues and, in the tech lead’s absence, conducted meetings and worked directly with the coordination team.
