venkatamandavilli-code opened a new issue, #66771: URL: https://github.com/apache/airflow/issues/66771
### Description Hello Apache Airflow Community, I would like to propose a contribution based on my experience leading large-scale enterprise ERP transformations (SAP S/4HANA implementations across multi-country environments). ### Proposed Contribution A documentation or example contribution covering: **Enterprise ERP Data Migration Pipeline Patterns using Airflow** ### Key Areas - Data extraction from legacy systems - Data validation and reconciliation pipelines - Handling multi-region deployments - Cutover orchestration workflows - Failure handling and retry strategies - Post-migration monitoring and reporting ### Background I have led complex data migration and integration programs involving high-volume enterprise data, multi-stage validation, and automated workflows. I believe these patterns could be valuable for teams using Airflow in enterprise ERP and data migration contexts. ### Request Please advise: - if this would be valuable for the community - preferred format (docs, example DAGs, or guides) - recommended location for contribution I would be happy to submit a PR based on guidance. Thank you. ### Use case/motivation Enterprise ERP systems such as SAP S/4HANA involve complex, multi-stage data migration and integration processes during implementation and upgrades. In large-scale environments, these migrations require structured orchestration of tasks such as: - Data extraction from legacy systems - Multi-layer validation and reconciliation - Transformation and enrichment - Controlled data loading - Post-migration verification and monitoring Apache Airflow is well-suited for orchestrating these workflows, but there is limited documentation or standardized patterns specifically tailored for enterprise ERP migration scenarios. This proposal aims to introduce practical workflow patterns that demonstrate how Airflow can be used to manage ERP data migration pipelines in multi-region and high-volume environments. These patterns can help organizations reduce migration risk, improve data accuracy, and standardize orchestration approaches across complex ERP implementations. ### Related issues _No response_ ### Are you willing to submit a PR? - [x] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
