Project Overview We are building a production-grade real-time event ingestion and SMS alerting system. The system must ingest data from multiple real-time sources (web-based and audio-based), normalize events, perform deduplication, classify priority, and dynamically route SMS notifications. Full operational details will be shared after NDA. This is not a basic automation task. It requires a robust, production-ready architecture. Scope of Work You will: Deploy n8n in a self-hosted Docker environment Implement high-frequency polling workflows Build audio ingestion + transcription pipeline Extract structured event data (address, type, priority) Implement deduplication logic (Redis or Postgres preferred) Build routing logic (dynamic SMS routing) Integrate Twilio SMS Implement logging, retries, and monitoring Deliver full Docker Compose deployment package Provide workflow exports and documentation Include 30-day stabilization support Technical Requirements n8n (self-hosted) Docker-based deployment Twilio API High-frequency event polling Audio processing and transcription State management (Redis/Postgres) Production monitoring and failure handling Deployment & Security No direct access to production systems All credentials via environment variables Deliverable must include Docker Compose + .env template Final deployment will occur in staging first All workflows exported as JSON To Apply Please answer the following: How would you design deduplication for high-frequency real-time events? How would you monitor ingestion failure? What retry strategy would you implement? Provide an example of a similar system you have built. Confirm ability to deliver Docker-based deployment. End of description.