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How Blueprintdata can help

  • Design the data platform from scratch on AWS or GCP: warehouse, ingestion, transformation (modeling), orchestration, IAM, IaC, MLOps
  • Deploy and operate Metabase (managed or self-hosted on ECS or similar) with warehouse RBAC
  • Move Metabase off a read replica or OLTP onto curated models, including card-by-card migrations
  • Shared metrics so product, finance, ops, and growth stop reconciling dashboards
  • Unblock ML: replace a warehouse at its limits so data science ships models instead of fighting infra
  • AI-ready access: copilots and NL analytics query the same governed definitions as Metabase, not shadow metrics
  • Publish and reuse open-source connectors (including tap-metabase) instead of one-off scripts
  • Train the team and hand off. We do not stay in the middle of their BI

About Blueprintdata

Blueprintdata is an analytics engineering consultancy. We design owned data platforms on AWS and GCP (warehouse, ingestion, transformation, orchestration, IaC, MLOps) and put Metabase on governed models, not on a production replica. We also unblock ML and AI on that same foundation, then hand the stack to the client’s engineers.

Clients' reviews

Francisco Goulu, Head of Product and Co-founder, Takenos

Blueprintdata helped us adopt Metabase as the way Takenos looks at the business. We didn't need another pile of dashboards, we needed one place where the whole company could ask questions and get the verified answers. The team built the warehouse and modeling layer underneath Metabase, then left us able to keep building on it. Metabase reads curated models, not raw application tables, so a dashboard and a follow-up question don't quietly disagree. Blueprint helped us adopt it, taught the team to extend it, and handed it over. I recommend Blueprintdata for any team that wants to do Metabase properly: a front door to modeled data, not a bypass around it

Alejandro Dueñas Garcia, Head of Data Science, Kiwi Credito

Blueprintdata helped Kiwi adopt Metabase as the self-serve analytics layer on top of our warehouse. They moved our analytics onto Snowflake, modeled the data in dbt, and pointed Metabase at that layer. Now people outside the data team query modeled tables, not the operational database, and role-based access means we can open Metabase widely without exposing personal data.