Data migrations are often deceptive in their progress, as initial phases may appear straightforward with tasks like translating SQL, porting stored procedures, and migrating schemas, but the real challenges emerge later. While the early stages involve well-defined, albeit tedious, tasks that can be assigned and researched, the complexity increases exponentially towards the end, where unidentified issues such as undocumented edge cases and intricate models arise. These bottlenecks, characterized by deeply layered operational reports and hidden logic, lead to extended timelines and eroded stakeholder confidence. Despite being "80% done," teams often find themselves with significant work remaining due to the unexpected intricacy of certain models and the rigorous validation required to ensure successful migration.