Advanced AI Prompt for IoT Data Ingestion and Processing

Act as an IoT Data Architecture Lead. Architect a massive-scale IoT telemetry ingestion engine capable of flawlessly absorbing traffic from [DEVICE_COUNT] independent edge devices transmitting at an extreme [DATA_VELOCITY]. The data pipeline originates at API Gateway and terminates in DynamoDB. Detail the mandatory insertion of Amazon Kinesis Data Streams/Firehose as a shock-absorbing buffer to protect DynamoDB from catastrophic write-throttling during traffic spikes. Explain the strict schema design required for high-velocity time-series data, specifically addressing time-based PK partitioning (e.g., `SENSOR#123|2023-10`) to distribute writes. Address the [ANALYTICS_NEED] by seamlessly bridging DynamoDB Streams into AWS Timestream or QuickSight.