Lennart Nettler developed an end-to-end temperature time-series data ingestion and provisioning workflow for the data-hydenv/data repository. He engineered datasets containing 10-minute historical and hourly temperature data, supporting ingestion and forecasting pipelines for analytics and model development. Using data engineering and data ingestion skills, Lennart managed dataset uploads in CSV format and ensured traceable, version-controlled commits via Git. His work improved data availability and reliability for downstream workflows, enabling faster access for analytics teams. Over the month, Lennart focused on dataset structuring and repository management, demonstrating depth in time-series data handling and collaborative data engineering within a short project period.