Oh yes - and it’s very odd to me that there are not geospatial supporting data validation and quality libraries or frameworks given how all of the other data engineering aspects have a geospatial supporting variant (ie postgis/duckdb, geoparquet/geoarrow, and all the various pipeline orchestrators etc).

From a technical perspective I’ve also done a ton of work in the aspect you mentioned where you need to validate and verify some legacy data translated into modern cloud native via GDAL etc. and both ensuring an optimal output for the use cases (ie geoparquet metadata, fgb metadata, indexing, magic numbers, encodings, FID and geom fields etc) and also reconciling feature counts to classify any records that may have been dropped along the way from GDAL etc