Responsible for leading Data Engineering in an optimization project for a major Brazilian steel producer, focusing on scenario simulation to enhance operations. I utilize Python, SQL, and PySpark for data processing and cleansing, as well as for ingestion and processing via Datalake. I actively collaborate with the analytics team, applying data mining techniques to assist in identifying insights and developing new business rules.Additionally, I am involved in migrating from the Hadoop-based architecture to Databricks.

Responsible for implementing data visualizations and maintaining software developed in Python, JavaScript, and Ruby on Rails. Experienced Python programmer in an end-to-end project, focusing on integrating information from ERP systems and automating processes.

Responsible for raw material planning, data analysis to assess raw material availability, and procurement of domestic and imported materials. Led a project, following the DMAIC methodology, which improved the DRM (Delivery Reliability Metric) by 50%. Globally recognized for the department's outstanding performance during the global semiconductor component crisis.

Responsible for the production plan of the three driver lines, electronic modules, and magnetic reactors. I participated in a multidisciplinary project, following the DMAIC methodology, which reduced downtime on the factory line due to raw material shortages by 100%.