MQTT Developer & Consultant — Broker Integration for Production IoT

Four kinds of work, in practice. Greenfield design: choosing the broker (Mosquitto, EMQX, HiveMQ, or managed), designing the topic hierarchy as the data model it really is, setting per-message-class QoS, and provisioning security — per-device credentials and least-privilege ACLs — before the first device ships, when it's cheap. Backend integration: the subscriber services that turn the stream into application state, with the validation, timestamp normalization, and deduplication that separate a dashboard you trust from one that lies politely. Scale work: taking a deployment past the point where one broker node, one flat topic namespace, or QoS-everywhere stops holding. And rescue: inheriting an MQTT layer that grew organically — anonymous access still on, topics named after whoever needed them that week, data quietly dropping — and re-founding it without stopping the fleet.

What I don't do is sell you the protocol. If your device count and connectivity profile mean plain HTTP would serve you better, that's the recommendation, in writing — MQTT earns its infrastructure or it shouldn't run.

AetherMesh is the standing proof: its MQTT backbone carries live telemetry from over 1,000 tagged assets across more than five sites — asset tags and beacons publishing through site gateways into the broker, a reactive Java / Spring Boot backend subscribing, validating, and persisting, and dashboards rendering the stream with sub-second signal-to-screen latency. Multi-tenant from the first schema, so one tenant's telemetry burst is invisible to every other tenant. The same messaging discipline runs through my fleet work, where 200+ vehicles report through protocol decoders into real-time integrations — different transport details, identical architecture instincts.

The technical thinking is public: the MQTT broker integration guide covers broker choice, topic design, QoS, and hardening exactly as I practice them, and the Raspberry Pi + Spring Boot guide covers the consuming backend with working code. Read both and you'll know how I'll approach your system before we ever speak — that's deliberate.

Fixed-bid, quoted within 48 hours of your brief. The honest cost drivers: whether this is design review (days), greenfield build (design plus the backend integration — a proper project), scale work (depends entirely on what the current deployment assumed), or rescue (priced after a short paid audit, because nobody can honestly quote an unknown system sight-unseen — the audit's findings document is yours to keep either way). Device count matters less than you'd think; decision quality is what you're buying, and a well-designed layer for 50 devices costs about the same as for 5,000. What moves budgets is consumers — every additional system that needs the stream adds integration surface.

The same four models as every engagement here: fixed-bid project for scoped design-and-build work; retainer for the ongoing life of a production messaging layer; white-label under your agency's brand, NDA standard; and team augmentation when your engineers need an MQTT-fluent backend specialist embedded for a push. Remote-first and worldwide, response within 24 hours, new engagements typically starting within one to two weeks.