Data migration tool

This tool provides a structured framework to design, validate, and execute data migrations between source and target systems within software delivery ecosystems. It captures the end-to-end migration plan as a data model: endpoints, data models, field mappings, and transformation rules. Users—data engineers, platform owners, release managers—define source schema, target schema, and business rules once, then reuse them across projects.
Core capabilities include: input-driven mappings, transformation pipelines, and rule-based validation. The tool enforces required inputs (source/target endpoints, mapping templates) and optional enhancements (transformation scripts, schedule, concurrency controls). It can perform a dry-run to estimate records without writing to the target, produces a validation report, and logs an audit trail for governance. Advanced users can configure batch sizing, error thresholds, and rollback criteria.
Operational flow: users supply endpoints and models, create field mappings, specify validation criteria (null checks, data type constraints, referential integrity), and define a migration plan. The system calculates estimated workload, executes in batches, captures success/failure metrics, and exports a plan and artifacts for release notes or compliance packages. It also provides templates for common migrations to speed up repeatable campaigns.
It supports cross-system migrations that may involve work items, histories, attachments, and metadata exports while ensuring traceability, reproducibility, and secure data handling through access controls and audit logs.