Async Redis Stream Processing App

I am looking to get a Rust example application developed for processing async Redis Stream data in real-time and triggering external processes. The application will need to execute its functions every minute. This is to be an example application using mock data that illustrates best practices for implementing the functionality, preferably using standard libraries or very minimal library dependencies. The target OS is Linux. As the intent is for best practices example I do not want your ChatGPT copy/paste answer please. Pseudo-code and description in attached [login to view URL] file. Key functionalities required: 1. Processing Async Redis Stream Data - The application should be capable of processing async Redis Stream data at regular intervals, set to every minute. 2. Triggering External Process - As part of the data processing, the application should be capable of spawning external event processes. This will be a key part of how the application interfaces with other systems or processes. Ideal Skills and Experience: - Rust programming: You should be experienced in Rust, and be familiar with how to optimize the language for efficient processing. - Knowledge of Redis and Redis Streams: A deep understanding of processing and managing data in Redis Streams is vital to ensure the application performs its tasks effectively. - Event-driven Programming: Due to the need to trigger external events, having a strong grasp on event-driven programming is crucial.