ETL in Azure Data Factory

The aim of the task is to collect files from different sources and load the data into a structure format in a target Database. Files: There are 4 tab delimited text files. Each file contains less than 20 fields with headers. Sources: Currently we have 4 different sources where we can find the files: Amazon AWS, DropBox, Google Drive or Azure FTP. Target Database: The target database is a Azure Database that contains 4 table mirroring the fields in the files. Potentially we need to do a transformation of the Data format (dd/mm/yyyy to yyyy-mm-dd) or change of decimal separator (coma to point) Execution: The execution of the ETL could be done on a scheduled (e.g. every 24 hs. or weekly) or run on demand. Implementation: The implementation should be done in the Azure Data Factory and the code should be accessible.