The write-audit-publish (WAP) design pattern is a software engineering approach used in data pipelines to ensure data quality and reliability. It involves staging, validating, and committing data to production, with a focus on accuracy, consistency, and trustworthiness. The WAP workflow consists of three phases: Write, Audit, and Publish, where data is first written to a staging area, subjected to rigorous quality checks in the audit phase, and only validated data is transitioned to the production environment in the publish phase. This approach addresses the problem of data integrity by providing a structured approach to ensuring data quality and reliability. The WAP pattern has proven integral to improving data quality and can be used in various scenarios, including batch processing and streaming real-time data. By adopting WAP design patterns, data engineers can enhance data integrity, increase data security, improve reliability, and provide operational flexibility and scalability.