Your question is Throughput-Oriented Pipeline Code Structure. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you structure and optimize a data pipeline's code to maximize throughput when processing concurrent, high-volume data streams?
Treat this as an application-level codebase design question, not a distributed infrastructure design exercise. Explain the layers, dependency direction, concurrency model, backpressure strategy, state ownership, testing approach, and key trade-offs.