Rebecca Halasy developed a robust data ingestion enhancement for the data-hydenv/data repository, focusing on hourly upload and processing of Hobo metrics. She designed and implemented a backend pipeline using Python, integrating APIs to automate data collection and enable near real-time monitoring. Her work established a scalable ETL foundation, improving both the reliability and timeliness of metric uploads. By introducing automated hourly ingestion, Rebecca addressed operational visibility and data freshness, ensuring that the system could support future scaling needs. The depth of her contribution is reflected in the careful integration of backend development and data processing best practices throughout the project.