Auto ML for feature engineering

Is there any Auto ML that can try different feature engineering approaches, encoding, feature selection based on importance etc?

I have been manually trying different encoding techniques for categorical variables and find it very time consuming (every time to change the encoding, run the model and repeat the same procedure).

Is there any Auto-ML solution that can minimize our data preprocessing and feature engineering efforts?

Of course, I understand the importance of domain inputs but I don't think I would be doing anything different than what an auto-ml does?