• Own end-to-end data migration execution for enterprise and multi-location customers from discovery through cutover and validation • Lead client-facing data discovery and data mapping sessions to define source structures, transformation rules, and migration scope • Profile, cleanse, normalize, deduplicate, and transform large datasets using Python and Pandas • Write advanced SQL queries (MySQL and PostgreSQL) to validate, transform, and reconcile migrated data • Define and apply business rules for matching, merging, and record standardization • Build repeatable migration scripts and reusable data transformation workflows using version control best practices • Partner with Implementation, Solutions Engineering, Product, and Support to resolve data-related blockers and edge cases • Create clear technical documentation including data mapping specs, transformation logic, validation plans, and migration runbooks • Design and execute data validation and integrity checks before and after migration • Identify risks early and define rollback or remediation approaches when needed • Contribute to continuous improvement of MoeGo’s migration tooling, standards, and playbooks