Over a two-month period, Leonhard Schmid developed and integrated temperature time-series and hourly data ingestion features for the data-hydenv/data repository. He designed CSV-based data pipelines that ingested temperature readings at both 10-minute and hourly intervals, covering historical data from October to December 2024. Using skills in data engineering, data management, and ETL, Leonhard implemented ingestion paths and data models that enabled downstream analytics and dashboarding without introducing major bugs. His work expanded the repository’s data coverage and supported weather-related analytics, demonstrating proficiency in CSV handling and time-series data integration while maintaining a focused, incremental approach to platform development.