That‘s a good start, but may even be an overkill for your goal. The trick is not in the application of highly complex SQL. The trick is in the PROCESS — making

That‘s a good start, but may even be an overkill for your goal. The trick is not in the application of highly complex SQL. The trick is in the PROCESS — making it robust, testable, traceable, and reversible for every object despite the complex dependencies. And then indeed validating every step went well, with the validation depth depending on the objects criticality (OK return code vs check of record counts vs check of totals on fields vs check of totals per category etc) If you‘re really into it, consider the use of automation and tracing IDs for individual loads. If you‘re worried about the time it takes despite automation: work on the bulk of the data, but use DB triggers to record delta from your snapshot, then treat that „sidecar“ accordingly. Then: do at least one end-to-end test. Learn from the mistakes at every single stage, and act on what you‘ve learned.