Developing/Monitoring pipelines in Azure Data Factory (ADF) to extract and transform data from diverse sources like Azure SQL, Blob storage, and Azure SQL Data Warehouse.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.Collaborate with cross-functional teams to understand data requirements and design appropriate data integration solutions.Integrate data from various sources, both internal and external, ensuring data quality and consistency.Maintain comprehensive documentation for data pipelines, processes, and architecture within both Azure and Snowflake environments including best practices, standards, and procedures.

• Optimized data pipeline architecture, resulting in a 30% reduction in data processing time.• Implemented automated data validation, reducing manual effort by 80% and enhancing data accuracy.• Utilize SQL and other query languages to extract, manipulate, and analyze data from various databases and data warehouses.• Work closely with IT teams to implement and optimize data models, ensuring data quality and accuracy.• Automated data validation processes, improving efficiency and eliminating manual effort.