Charlie Lange developed and expanded environmental data ingestion features for the data-hydenv/data repository over a two-month period, focusing on reliable time-series analytics. He engineered a standardized 10-minute CSV data feed with normalized timestamps, ensuring consistent formatting and schema alignment for downstream processing. In the following month, Charlie extended the dataset by introducing an hourly temperature CSV with provenance indicators, supporting granular temporal analysis. His work emphasized data cleaning, data engineering, and data formatting, leveraging CSV as the primary data language. The solutions addressed ETL complexity and improved data quality, demonstrating a methodical approach to schema standardization and reproducible data pipelines.