During September 2025, this developer enhanced the gafusion/omas data pipeline by integrating interferometer data export, enabling automated retrieval and alignment of hardware and measurement data within the export workflow. Using Python, they focused on data export and integration, ensuring that interferometer and charge-exchange data are accurately synchronized and readily available for analytics. They addressed a parsing issue in fuse_export by directly passing the CER_analysis_type variable, which improved the reliability of charge-exchange data retrieval. The work demonstrated a solid understanding of data pipeline reliability, reducing manual troubleshooting and supporting more efficient analytics and reporting across the gafusion/omas repository.