Mishtee Limaye developed a unified ingestion pipeline for the data-hydenv/data repository, centralizing temperature time-series data from 10-minute and hourly CSV datasets spanning 2024 to 2025. Leveraging data engineering and data management skills, Mishtee streamlined the ingestion process to support more efficient analysis and reporting. The work included removing the obsolete 10350042_Th.csv file to prevent data duplication and misinterpretation, thereby improving data governance and reporting accuracy. By focusing on robust data ingestion and storage practices, Mishtee ensured that the repository maintained high-quality, reliable datasets, laying a foundation for faster analytics and more dependable reporting workflows.