The University of Texas Southwestern Medical Center (UTSW) and Texas Health Resources (THR) implemented an Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that utilizes the Epic electronic health record's (EHR) extract, transform, and load (ETL) system to enable collaborative research with other health institutions within the OHDSI network. We mapped EHR data from core Epic reporting tables to 25 OMOP CDM tables and transferred the data to a shared OMOP database housed within the Caboodle infrastructure using Epic's pre-existing ETL system, minimizing the need for customization. ETL processes occur weekly at THR and daily at UTSW. OMOP CDM mapping resulted in data quality assessment values of 97% and 98% for THR and UTSW respectively. Our study established a reproduceable, collaborative pipeline using the OMOP CDM with Epic's native ETL framework, expanding the OHDSI research network resulting in better quality and more generalizable data sets available for future research.