• Spearhead the design and development of scalable ETL pipelines in Databricks, leveraging PySpark and SQL to process large datasets.• Collaborate with teams to deliver data-driven solutions for operational and inventory efficiency.• Lead data migration initiatives from SQL Server to Databricks, optimizing complex HR datasets for improved accessibility and analysis.• Execute data quality improvement strategies, ensuring accuracy and consistency across critical business datasets.• Support data projects to optimize factory operations and inventory management with actionable insights.• Partner with cross-functional squads to drive innovation in data analytics and foster a data-centric culture across business units.

• Lead data analysis and organization efforts, transforming raw data into optimized analytical datasets to drive actionable insights.• Develop and maintain robust datasets for financial risk analysis, including collections, credit, and fraud detection.• Implement data quality and efficiency improvements, ensuring data integrity and reliability.• Collaborate closely with cross-functional teams to meet specific project objectives related to financial risk assessment.• Contributed significantly to a successful cloud migration initiative, enhancing data accessibility and scalability.• Utilize PySpark, Hive SQL, and strong analytical skills to tackle complex data challenges and deliver data-driven solutions.• Play a crucial role in evolving financial risk management strategies and processes within the organization.

IT Coordinator in the public health sector. Responsible for the e-Sus system and other software used by professionals in Primary Care treatment, assisting in the use and maintaining the operation. Also responsible for maintenance of hardware in the PSF (Family Health Program) units.

Maintenance of computers in the public health sector. Assist in solving everyday problems and IT support.