AWS S3 Batch Operations is a solution to quickly process large quantities of ETL data by invoking a Lambda Function, however you first need to create a manifest file describing all the objects you want to process. I couldn’t find any quick solutions to easily create these manifests online so I put together a solution in Python. You can find the GitHub code here.
Instructions to generate an S3 Manifest CSV For creating a csv manifest list of all files in an S3 bucket with a certain prefix and suffix....

The out-of-order data landing problem Applying window functions over data is non-trivial if data arrives out-of-order (with respect to the dimension the window function is applied across). For clarity, lets take timeseries data for this example as our window dimension. If timeseries data arrives from Tuesday through Thursday of a week, then at a later time data from Monday of that week arrives, the data has arrived out-of-order.
As a window function output is sensitive to its surroundings in timespace, the results of the window function would be altered by the new out-of-order data that landed....

The problem I was recently presented the challenge to join two timeseries datasets together on their timestamps without requiring the corresponding data from either dataset to arrive at the same time as the other. For example, data from one day last month from one dataset may have landed on S3 a week ago, and the corresponding data from the other dataset for that day last month may have landed yesterday. This is an incremental join problem....