Developed and delivered the Dataflow Profile Management feature for the Azure/azure-iot-ops-cli-extension repository, enabling users to create, update, and delete dataflow profiles directly from the CLI. This work involved designing and implementing new command-line commands and parameters, including options for managing profile instances and log levels to fine-tune dataflow resource configurations. Leveraging Python for backend and CLI development, the feature was integrated end-to-end into the extension workflow, improving configurability and governance of dataflow resources. The approach emphasized clear command design, robust change traceability, and seamless integration with Azure IoT, resulting in faster and more flexible resource setup.