IoT & Telemetry
Collect, move and make sense of data from the edge — reliably and at scale.
Telemetry from the edge arrives in volumes and under network conditions that break naive pipelines — devices go offline, clocks drift, and a fleet that doubles overnight can swamp ingestion. I design edge-to-cloud architectures that ingest device data reliably, buffering and handling intermittent connectivity, and land it in time-series storage built for the write rates and query patterns that telemetry actually has. From there, real-time processing turns the raw stream into something you can alert and act on — so the data is not just collected at scale but made useful at scale.
What's included
- Device data ingestion
- Telemetry pipelines
- Time-series storage
- Edge-to-cloud architecture
- Real-time processing
Software Engineering & Data
Let's talk about your project.
Tell me about your system and what you're trying to achieve — I'll tell you honestly how I can help.
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