Build the pipelines, contracts and governance that make operational data trustworthy — then put it in front of the people who make decisions, in the tools they already use.
A warehouse nobody trusts is an expensive archive. We treat data as a product: every dataset has an owner, a contract, a quality bar and a consumer who would notice if it broke — which is what turns reporting into decisions.
Lakehouse and warehouse foundations built for multi-team ownership.
Event backbones that carry operational data in seconds, not hours.
Lineage, classification, retention and automated quality gates.
Metrics layers and interfaces built around the decision, not the table.
Feature stores and reproducible training data for production models.
On-call ownership of the pipelines your reporting depends on.
Trace where the numbers come from today, and where they diverge.
Agree the domains, owners and contracts before building pipelines.
Deliver one high-value data product end to end, then repeat the pattern.
Run the platform with quality SLAs and published freshness metrics.
A streaming data platform that replaced overnight batch reporting for load and outage management.
Start with one governed data product and measure what changes.
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