1. The process integrates into the Pending MP flow, where control flags are added to determine when to apply Pending EPS. 2. Navigation through the platform occurs to download two necessary reports for data cross-referencing, ensuring that only specific codes match between them. 3.Data cross-referencing is performed between the two downloaded reports using an Excel file as a filter, containing codes of certain locations to be considered in the process. 4.Since the files are too large, a Python script is implemented to split the resulting file into smaller parts. Each part has a maximum size of 1 gigabyte, making it easier to handle and load later. 5.Finally, the split parts of the file are uploaded to the Managed File Transfer (MFT) platform, ensuring their distribution and efficient access for subsequent processing. technology used: Python, SQL, Error handling, banderas de control de flujo, AA, web page, File management, Logs review: During the restructuring of Pending MP, a change control was requested to optimize its operation. Control flags were introduced that dynamically adjusted during the process execution. This was because the process was running four times a day, but for Pending MP, only one daily execution was required, while for Pending EPS, four daily executions were necessary.