What about empowering the magician to handle some of the blacksmith's work? We need to start glorifying the more mundane tasks (data quality management, fixing

What about empowering the magician to handle some of the blacksmith's work? We need to start glorifying the more mundane tasks (data quality management, fixing broken ETLs, aggregating data)and tying them to the bottomline. This comes up a lot at fintech companies, as lordnacho mentions: data science makes the data look pretty for your CEO, but the data wouldn't even be there if it wasn't for the data engineer. We need self-service data platforms that hold magicians accountable. I'm seeing this more and more, but there's still a lot of work that needs to be done in this arena: https://towardsdatascience.com/how-to-build-your-data-platform-like-a-product-6677e8abe318?source=friends_link&sk=848d794b11e4d9f33abe4bf7a2a7cd30 https://towardsdatascience.com/how-to-build-your-data-platfo...