
Will Jamieson contributed to the OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa repository by building and enhancing backend APIs for environmental sensor data collection and analytics. He developed new endpoints for historical and real-time data retrieval, implemented robust rate limiting, and improved payload validation to support reliable ingestion of rain, humidity, and CO2 sensor data. Using Node.js, SQL, and C++, Will refactored authentication logic, modernized sensor integration, and introduced flexible data aggregation for hourly and daily reporting. His work addressed security, data integrity, and analytics requirements, resulting in a more dependable IoT telemetry pipeline and supporting the project’s goals for accurate, actionable environmental insights.

November 2024 highlights for Otago Polytechnic / Cloudy with a Chance of LoRa: Strengthened security and data integrity on the data ingestion pipeline, expanded analytics capabilities with 1-day graph data and hourly/daily aggregations, and modernized sensor integration for reliability and maintainability. Delivered measurable improvements in data quality, reporting flexibility, and IoT hardware integration, aligning with business goals of dependable telemetry and faster data-driven decisions.
November 2024 highlights for Otago Polytechnic / Cloudy with a Chance of LoRa: Strengthened security and data integrity on the data ingestion pipeline, expanded analytics capabilities with 1-day graph data and hourly/daily aggregations, and modernized sensor integration for reliability and maintainability. Delivered measurable improvements in data quality, reporting flexibility, and IoT hardware integration, aligning with business goals of dependable telemetry and faster data-driven decisions.
October 2024 (2024-10) monthly summary for Otago Polytechnic's Cloudy with a Chance of LoRa project. Delivered API and data ingestion enhancements to improve reliability, performance, and analytics capabilities. Key progress includes higher API rate limits, a new graph data endpoint for daily-averaged historical data, and enhanced payload validation for rain data ingestion, aligning with business goals to support more frequent data refreshes and robust analytics.
October 2024 (2024-10) monthly summary for Otago Polytechnic's Cloudy with a Chance of LoRa project. Delivered API and data ingestion enhancements to improve reliability, performance, and analytics capabilities. Key progress includes higher API rate limits, a new graph data endpoint for daily-averaged historical data, and enhanced payload validation for rain data ingestion, aligning with business goals to support more frequent data refreshes and robust analytics.
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