Smart Meter Data Ingestion and Energy Analytics Microservice

Added Jun 2025 3 design docs

Utilities and energy startups are deploying smart meters that report consumption readings around the clock, but raw meter feeds are useless until they are ingested reliably and turned into consumption insights. Grid operators, sustainability teams, and billing departments all depend on that pipeline being fast, accurate, and secure, which makes it an ideal backend engineering challenge. In this project the intern builds a Spring Boot microservice in Java that accepts high-frequency smart meter readings through REST endpoints and processes them asynchronously so ingestion never blocks incoming traffic. Readings are persisted in PostgreSQL with a schema designed for time-based queries, and analytics endpoints expose aggregates such as daily and monthly consumption, peak usage windows, and per-meter trends. The service is secured with JWT authentication so only authorized clients can submit or query data, built with Maven, and containerized with Docker so it runs identically in development and production. Along the way the intern practices microservice design, asynchronous processing patterns, relational modeling for time-series-style workloads, and API security — a compact but realistic slice of what backend engineers build in the energy sector.

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