Thomas Hudson developed a new energy-flows-mocker module for the utilitywarehouse/kafka-cluster-config repository, focusing on handling meterpoint event Kafka topics to enhance the platform’s data ingestion and processing. He applied Infrastructure as Code principles using Terraform and leveraged AWS-managed Kafka (MSK) to implement modular, event-driven consumer logic. This work improved the reliability and scalability of real-time meterpoint event processing, enabling more maintainable and future-proof topic-based workflows. By ensuring end-to-end traceability through integration with QE ticketing and version control, Thomas delivered a well-documented, production-ready feature that addressed the need for robust, scalable data pipelines in the energy platform’s architecture.