• Developed a versatile library containing generic methods tailored for various load types, including APPEND,UPSERT, and SCD2, enhancing efficiency and flexibility in data loading processes.• Constructing PySpark transformation reusable methods to streamline data processing tasks, including flatteningstructures, deduplication, and standardizing column names etc for building data products faster.• Designed and implemented metadata-driven pipelines forextraction and orchestration in data factory which is leveragedby users to build data products.

Designed the BrewHub solution, encompassing architecture and system design.Developed a DevOps CI/CD pipeline to automate project creation and deployment processes.Implemented approval workflows to streamline project governance.Ensured comprehensive unit test coverage to validate system functionality.Conducted code security analysis to uphold robust software integrity.Established role-based permission mechanisms for secure access management.Developed a client application to monitor the status of approval workflows and enhance project visibility.Led and supported a full-stack team in designing and implementing the BrewHub solution, encompassing architecture and system design