Large-scale retail data warehouses are critical for storing and analyzing vast amounts of transactional, operational, and customer data. Effective ETL (Extract, Transform, Load) strategies are essential for ensuring that data is accurately extracted from diverse sources, transformed into a usable format, and loaded into the data warehouse for analysis. This paper explores the challenges of implementing ETL processes in large-scale retail data warehouses and provides strategies for optimizing ETL workflows. Key topics include data integration, scalability, performance optimization, and the use of modern ETL tools and technologies. The paper concludes with recommendations for designing robust ETL pipelines that meet the demands of the retail industry.