i need to build for data science team feature store that will return one big df after one hot encoding for almost each dimension,join and group by. 

should I create one feature store for final output that contain all the relevant data or create feature store for each dim and do the joi and aggregation in feature store fir final output?

I worry since some of the columns indicate doctor name (hot encoding) and they can change once in a while. 

what is the best practice?

thanks it can really help me and it seems you have ton of experience