Two simple options for achieving optimization are to use the fewest number of processors possible and group repeated operations into referenceable Process Groups.
Many processors allow data to be processed in batches within each thread. If you spread tasks across several processors, and each works on a smaller portion of a large dataset, you may not fully benefit from the batch processing.
Dataflow Studio offers several processor options to route or funnel data from a single source into different branches of a flow based on specific data, file attributes, etc.
If repeated operations are necessary, it is recommended to group these into Process Groups and reference throughout the necessary flows. By grouping repeated operations, it removes redundancy as the same processes are not repeated in multiple places taking up resources.
Data can be passed into these groups for processing, then passed back to continue through the necessary flow(s), making an efficient operation.