As some others already posted: There is more to copying data than just moving it. It is about observability. A lot of companies have created their own frameworks.

One example I find useful for a lot of usecases is dagster. You can define resources to encapsulate complexity https://docs.dagster.io/guides/build/external-resources in fact with components build on top of custom DSLs https://docs.dagster.io/guides/labs/components

At Magenta/Telekom we are bulding on https://georgheiler.com/event/magenta-data-architecture-25/ - you can follow along with this template here https://github.com/l-mds/local-data-stack/ you may find these examples useful to understand how to use dagster/graph-based data pipeliens @scale