Morgen Larsen developed foundational temperature time-series data ingestion capabilities for the data-hydenv/data repository, focusing on enabling real-time monitoring and analytics workflows. He designed and implemented a 10-minute interval dataset for monitoring events and an hourly dataset with an origin indicator, both structured in CSV format to support downstream data science applications. Leveraging skills in data ingestion and time series data management, Morgen ensured the datasets were version-controlled and traceable, laying the groundwork for future monitoring features. While no bugs were addressed during this period, his work provided improved data availability and analytics readiness, demonstrating depth in dataset design and workflow enablement.