The article explores the concept of configuration-based authoring for data orchestration, specifically through the use of DAG Factory, an open-source library that generates Apache Airflow DAGs from YAML files. This approach provides a middle ground between full code and full abstraction, allowing non-engineers to build complex workflows by defining pipeline structures in YAML while referencing existing Python functions or SQL files for business logic. The article illustrates the flexibility of this method with creative examples, such as generating DAGs from Excel files and even within Minecraft, demonstrating how configuration can serve as a universal language for orchestration. DAG Factory supports advanced features like hierarchical defaults and modern scheduling, enabling scalability and standardization across departments while maintaining governance and quality. By bridging declarative and imperative paradigms, configuration-based authoring empowers various roles to contribute to pipeline development, ensuring consistency and enabling rapid iteration without sacrificing quality or control.