MANAGEMENT OF EXTRACT TRANSFORM LOAD (ETL) JOBS VIA A MODEL THAT IS BASED ON A BAYESIAN NETWORK

A device may receive, from a user device, a request for a set of forecasts of an extract transform load (ETL) completion time for a group of ETL jobs associated with an organization. The device may obtain a set of performance indicators associated with the group of ETL jobs. The device may filter the set of performance indicators using one or more filtering techniques. The device may generate the set of forecasts of the ETL completion time by using a data model to process the set of performance indicators and/or a set of assumptions associated with a set of recommendations for reducing the ETL completion time. The device may provide the set of forecasts of the ETL completion time to the user device. The device may perform one or more actions that cause the ETL system to execute the group of ETL jobs within a threshold completion time.