One data platform, not twelve scattered sources.
We consolidated dispersed systems into a governed lakehouse. Teams went from requesting reports to answering their own questions.
Cloud designs and builds the layer everything else depends on: data platforms, pipelines (ETL/ELT), observability and infrastructure. Stacks built to stay fast, reliable and economical as load grows.
Lakehouses and warehouses designed so every team can query trusted data without asking permission.
Batch and streaming ingestion, ETL/ELT versioned and tested. Processes that don't break silently.
Metrics, logs, traces and SLOs. Alerts that matter, not noise that ends up ignored.
Cost visibility, rightsizing and architectures that deliver the same for a fraction of the spend.
Assessment of architecture, scalability and technical debt, with a clear, actionable verdict.
An orderly exit from legacy systems, without freezing the business during the move.
Representative examples of the division's work and the kind of outcomes we aim for.
We consolidated dispersed systems into a governed lakehouse. Teams went from requesting reports to answering their own questions.
Pipeline and observability redesign. Same capacity, a third of the nodes, actionable alerts.
Ingestion rewritten with tests, retries and monitoring. Data arrives on time, every day.
A first 30-minute conversation is usually enough to find out.