Try and write any complex SQL as a series of semantically meaningful CTEs. Test each part of the CTE pipeline with an in.parquet and an expected_out.parquet (or in.csv and out.csv if you have simple datatypes, so it works better with git). And similarly test larger parts of the pipeline with 'in' and 'expected_out' files. If you use DuckDB to run the tests, you can reference those files as if they were tables (select…
If you build your unit tests so that a thread will not commit until it's finished, or clear it before/after, it's pretty ideal for that. You can feed in data for that test and it won't be visible anywhere else.
Potentially if you scripted your table creates you could add an additional rule that GLOBAL TEMPORARY TABLE gets added to any other tabledefs but only for unit tests. Or just update both in parallel.
The other useful use-case I've found for this is that you can do an unlimited-size "WHERE myId IN (:1, :2 ...)" by doing a GTT expressed as "INNER JOIN myId = myGtt.myid", and this has the advantage of not thrashing the query planner for every literal sqltext resulting from different lengths of myList (this will fill up your query cache!). Since it's one literal string it always hits the same query plan cache.
I am told this has problems in oracle's OCI when using PDBs, apparently GTTs will shit up the redo-log tablespace (WAL equivalent). But so do many many things, PDBs are apparently a much different and much less capable and incredibly immature implementation that seems essentially abandoned/not a focus from what I've been told. I was very surprised having originally written that code in regular Oracle and not having had problems but PDBs just aren't the same (right down to nulls being present in indexes!).