The Pipeline (Pipes and Filters) Paradigm When to Employ This Paradigm - When data must flow through a fixed sequence of discrete transformations, such as in ETL jobs, streaming analytics, or CI/CD pipelines. - When reusing individual processing stages is needed, either independently or to scale bottleneck stages separately from others. - When failure isolation between stages is a critical requirement. Adoption Steps 1. Define Filters : Design each stage (filter) to perform a single, well-defined transformation. Each filter must have a clear input and output data schema. 2. Connect via Pipes…