Data Platform Modernization

Assessment to production. One team, full ownership.

We design, build, and operate scalable data platforms on GCP — end-to-end. Senior engineers only. The person who scopes your platform is the person who builds it.

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GCP data platform architecture — Dataflow ingestion, Cloud Storage data lake, BigQuery warehouse, Dataform processing, Looker BI, Dataplex governance, GitHub CI/CD

How we work with your data platform

Data Modernization Migrate legacy data infrastructure to a scalable, governed cloud platform on GCP. Warehouse design, ingestion pipelines, metadata management — deployed as code, owned by your team.
Cost Reduction We audit your cloud spend, identify waste, and tune architecture so you pay for what you use. Pipeline-level cost visibility, query optimization, and guardrails that hold.
Data Security Audit Security review of your data platform: access controls, IAM policies, data classification, and compliance posture. GDPR, NIS2, ISO 27001 — built in, not bolted on.
AI Readiness Prepare your platform for Gen AI workloads — clean data foundations, governed feature stores, and BigQuery ML integration. AI that works because the data underneath it does.
Custom Data Engineering Need something built? Pipelines, data quality frameworks, custom GCP jobs, agentic workflows — we scope and ship production-ready data engineering, whatever the shape of the problem.

Let's talk about your data platform

30 minutes with a senior engineer. Send your stack diagram or BigQuery cost screenshot ahead — we'll come back with 3 concrete observations. No pitch.

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