Apache Spark's new Declarative Pipelines (SDP) framework transforms ETL development by enabling engineers to define data transformations while automating orchestration and error handling. The open-source solution supports both batch and streaming workloads, reducing boilerplate code through Python and SQL interfaces. This approach promises significant productivity gains for teams managing complex Spark data pipelines.