Build, test, and maintain database pipeline architectures Create databricks notebooks Create new data validation methods and data analysis tools

Develop data set processes Identify ways to improve data reliability, efficiency, and quality Designed, tested, and maintained data management and processing systems Lead migration of legacy Data Warehouse from On‑premise to Azure

Improvement performance of existing ETL processes and SQL queries for CRM data Designed, tested, and maintained data management and processing systems. Worked closely with team members, stakeholders, and solution architects. Ensured architecture met business requirements. Built scalable and fault-tolerant systems Oversaw the complete ETL process. LIBBS, Pfizer, Sanofi and Novo Nordisk, were a few of our clients for example

Created data modeling standards and procedures. Presented data models to business teams for review. Performed detailed data validation spanning across several international projects. Coordinated with external company to monitor and support data integration to the company's CRM System. Worked with complex datasets and trained new hires to work with them as well.