Data modernization is a growing trend driven by the need for cloud-enabled systems that can handle increasing amounts of unstructured data. Companies are shifting from legacy database management systems (DBMS) to modern, cloud-friendly data warehouses, which provide improved performance, scalability, and cost optimization. However, this process is often fraught with challenges such as inadequate knowledge of legacy applications and complexity of code and design. DataSwitch and MongoDB Atlas can help overcome these hurdles by providing a strategic approach, automated schema redesign, data migration, and refactoring capabilities. With the help of DataSwitch's no-code and low-code solutions, companies can accelerate their time to market, reduce costs, and improve data quality, while harnessing the power of MongoDB's document-based database and cloud-enabled architecture.