Benni Fun developed end-to-end ingestion for temperature time-series data in the data-hydenv/data repository, focusing on both 10-minute and hourly resolutions. He engineered a pipeline that reliably imports and normalizes CSV data, standardizing time fields and enforcing three-decimal precision to enhance analytics readiness and data quality. Using Python for ETL scripting and leveraging strong version control practices, Benni improved the schema by renaming date_time to dttm and ensuring consistent formatting. These changes enable high-resolution temperature analytics and simplify downstream ETL processes. Over the month, his work emphasized data cleaning, engineering, and formatting, with incremental improvements to data reliability.