Developed and optimized complex SQL queries, stored procedures, and database objects to support large-scale data processing, transformation, and analytical reporting. Built advanced Python-based data processing solutions using Pandas and NumPy for data cleaning, aggregation, automation, and analytics across multiple data sources. Implemented performance optimization techniques, exception handling, logging, and reusable modular code to improve efficiency and maintainability of data workflows.Collaborated on big data and analytics initiatives, leveraging advanced SQL, Python programming, and visualization tools to generate actionable business insights.<br /> The skillset that we are looking for is below. DBT -Strong SQL (data validation, query building, engineering practices). Python - Git Hub experience -understands best practices - Agile experience