Energy Sensor Streaming Dashboard with Amazon Kinesis

Added Jun 2025 3 design docs

Energy companies and smart-building operators deploy fleets of IoT sensors reporting power usage, temperature, and equipment status every few seconds, but the readings only become valuable when they can be seen and acted on as they arrive. Understanding how streaming ingestion works, producers, streams, and consumers, is the entry ticket to every real-time data engineering role. The intern builds a working end-to-end streaming pipeline on AWS. A Python producer simulates IoT sensor devices and writes readings into an Amazon Kinesis Data Stream, a consumer application reads records from the stream as they land, and a dashboard visualizes the incoming measurements with live-updating charts showing values over time and simple aggregates such as averages per sensor. Along the way the intern works with the core Kinesis concepts of streams, shards, and partition keys, and learns how big data systems decouple the components that generate data from the components that use it. Completing the project gives the intern their first real streaming architecture, a producer-consumer system they built themselves rather than a diagram they memorized, along with practical AWS experience and data visualization skills. It is a compact but genuine demonstration that they can move data in real time from source to screen.

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