Data aggregation and split train test samples
If you are training the model based on the aggregated values anyway then it wouldn't make any difference on the final dataset that is fed to the model.

You might consider aggregating earlier in your pipeline as to reduce the amount of work that has to be done afterwards (whatever steps you go through).  Aggregating means less data points, so following steps will run faster.