In some implementations, a data merger may receive a configuration associated with a first data source. The data merger may receive a configuration associated with a second data source. The data merger may receive a configuration associated with a first output endpoint. The data merger may receive an indication of a first transformation to apply to first data received from the first data source and second data received from the second source, such that the first output endpoint transmits a combination of the first data and the second data after application of the first transformation. The data merger may provide the first data, received from the first data source, to a machine learning model and receive an indication of a second transformation recommended by the machine learning model. The data merger may transmit the indication of the second transformation.