Build and maintain scalable, reliable, and high-performance ETL pipelines for the collection, storage, and transformation of large datasets. Collaborate with cross-functional teams to integrate data from multiple sources and ensure data consistency and quality across the organization. Work closely with data scientists, analysts, and business stakeholders to understand data requirements and provide data engineering support for analytical projects.Administration of database including performance engineering, installation, setup, configurationof databases, ensuring best practices for database backup, recovery, security.

Conduct data analysis with Power BI, leading the implementation of data-driven solutions that increased efficiency and accuracy. Variety of innovative strategies were applied to increase data accuracy, reduce project completion timelines, and demonstrate measurable results in skill development and project efficiency.

Managed daily claims allocation, submitted activity reports, reviewed process improvements and troubleshooted issues.Provided training to a team by communicating with the team members for the project and managed the claims adjudication process.Developed and maintained SQL databases, ensuring efficient data storage and retrieval.