Modern data migrations often entail more than a simple lift-and-shift process, requiring transformations and enrichments to optimize the data for the strengths of the destination platform, such as Couchbase Capella. Capella's Eventing service facilitates event-driven, inline transformations, enabling schema reshaping, value normalization, and metadata enrichment as data arrives, thus preparing documents for immediate use in SQL++, Search, Analytics, and mobile sync. The provided approach uses MongoDB Atlas as a source database, leveraging cbimport and Capella Eventing to convert source schemas into query-optimized models. The migration process involves exporting data from MongoDB, importing it into a temporary collection in Couchbase, and applying controlled Eventing transformations to prepare the data for various application services without interim refactoring phases. This method ensures consistency, auditability, and repeatability across environments, facilitating a seamless transition with minimal post-migration rework. The document outlines the prerequisites, operational guidelines, and validation steps necessary for a successful migration, while also suggesting expanded use cases like e-commerce and IoT pipelines, and future enhancements such as incremental sync and continuous data streaming.