When building ETL (Extract, Transform, Load) pipelines for marketing analytics, customer insights, or similar data-driven use cases, there are two primary architectural approaches: dedicated pipelines per source and common pipeline with integration, core, and sink layers. 

Each has its distinct non-functional trade-offs in terms of maintainability, performance, cost efficiency, and operational visibility.