Data Engineering & Analytics

Data is only valuable when it moves reliably, lands in the right shape, and surfaces insights at the right time. Zenarca has built data infrastructure at both ends of the scale spectrum — petabit-scale telemetry pipelines processing data from 200 million devices, and scrappy startup dashboards that give founders visibility into the metrics that matter.

Good data engineering is invisible. Pipelines run on schedule, data arrives clean, dashboards load quickly, and nobody thinks about the infrastructure underneath. We build with that goal: reliable by default, observable by design, and documented so that the next engineer can understand what's happening without spelunking through code.

We also build for the future. ML-ready infrastructure means the data formats, storage patterns, and pipeline architecture that let data scientists experiment without waiting months for engineering changes. FinOps dashboards mean you see where your cloud spend is going before you get surprised by the bill.