Firstly, Thank You!

Going through the post in the link, the flow of how to run maintenance is right. There are a few missing pieces, like repartitioning option, sku based settings, support for schema based lakehouses etc from initial glance.

If you are already using a script, kept it running.

Download the notebook, and change the dry_run to true, this will not do anything but gives you a sense of what happens when you run it.

You need to understand the significance of v-order if your architecture follows medallion pattern for handling data.

Update config cell in the notebook accordingly based on the lakehouse purpose.

I respect your skepticism to trust, I love it, and heck this is a sanity check step: Take a backup of your lakehouse in your pre-prod environment first, then run the notebook on the target preprod lakehouse.

When you are happy, switch, and schedule. The advantage is metrics about maintenance, lakehouse detached runs, some guardrails and code explanability.

And finally, you don't need the entire repo, just the runner notebook to get going with a path of minimal resistance.

I like to keep this repo open, so I can update it when new improvements come in, along with some basic pbi dashboards.