Data Flow Split

I'm trying to figure out how in a Data Flow Transform I can split some data.

I have data coming through that has a PK (col1) and datetime col (col2).
This data may contain multiple rows for the PK, col1.
I want to be able to take the min datetime for each row for col1 and send down one path and all other rows down another path eg. There are 20 rows in the Data Flow coming through. Col1 has value 1 for first 10 rows, value 2 for remaining 10 rows and there are different values for Col2 for all rows. Take the Min value in Col2, where col1=1 and also the min value in Col2, where col1=2 and send down one path. Send all other rows down another path.

I thought of using the Conditional Split Transform but my Expression knowledge isin't experienced enough (I'm looking into this) and I'm not sure if it can be done.

I also though of using the Multi-Cast Transform and then using the Aggregate function, on each data set. While I can do this easily for the first data flow.

SELECT col1, MIN(col2)

FROM tbl1

GROUP BY col1

which is easily done in the Aggregate transform, the other side of the data flow I can't see how can be done using the Aggregate Transform

SELECT col1

FROM tbl1

WHERE col2 NOT IN (SELECT MIN(col2) FROM tbl1 GROUP BY col1).

Are either methods feasilble or is there another way.
I want to avoid putting this data into temp tables in a SQL database and manipulating the data from there. The data has been extracted from a flat file source.
Any help and ideas welcome.