February 2025 (2025-02) - Key feature delivered: Temperature Time-Series Data Ingestion in the data-hydenv/data repository. Implemented CSV data source ingestion for time-series temperature readings to enable analytics and integration, establishing a scalable path for ingesting external temperature data into analytics pipelines and dashboards. This work lays the foundation for enhanced monitoring and trend analysis, supporting more informed operational decisions. Major bugs fixed: None reported this month. Overall impact and accomplishments: Expanded data ingestion capabilities for temperature time-series data, improving data availability and readiness for analytics across teams. The feature reduces onboarding time for CSV-based datasets and unlocks downstream analytics, dashboards, and alerting. The changes demonstrate solid end-to-end pipeline design, data validation groundwork, and clear traceability through commits. Technologies/skills demonstrated: CSV ingestion pipelines, data modeling for time-series data, end-to-end ETL readiness, data quality validation groundwork, Git version control and commit traceability, collaboration across repo boundaries.