mlr --csv cut -f name,age data.csv

The cut verb keeps just the fields named by -f and drops everything else, like a column-wise filter. Field order in the output follows the input unless -o is used to reorder. This is the Miller way to slim wide files before analysis. Use cut -x to do the inverse and drop the named fields instead.