Partition Spark DataFrame by column value and write paritioned data into MULTIPLE S3 buckets in parallel

Question

Let\'s say I have Spark dataframe in the following shape:

Customers(id: Long, fname: String, lname: String)

[1, Fname1, Lname1]
[2, Fname2, Lname2]
[3, Fname3, L