Pillar 03 of 5

Data Engineering & Business Intelligence

Build the reliable data backbone and real-time dashboards your decisions deserve. Every warehouse we ship is modeled, tested, and documented so your team can trust the numbers instead of double-checking them.

dbtSnowflakeLooker
Quick answer

Build the reliable data backbone and real-time dashboards your decisions deserve. Modeled, tested, documented warehouses people trust.

The problem

Spreadsheets and disconnected tools might get you through this quarter, but they don't scale, and every manual export is a place for the numbers to quietly go wrong.

Our approach

  1. Ingest every source into a single warehouse with a clear, documented schema

  2. Model the data in dbt so metrics mean the same thing in every dashboard

  3. Ship dashboards your team actually opens, not ones built once and ignored

  4. Add monitoring that flags a broken pipeline before it reaches a report

What this includes

  • ETL/ELT pipelines that unify every source into one clean warehouse
  • dbt models that are tested, documented, and safe to build on
  • Real-time dashboards in Looker, Power BI, or Tableau, no more spreadsheet exports
  • Data quality monitoring that catches breaks before your team does

Typical stack

dbtSnowflakeBigQueryAirflowLooker / Power BI

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Where this shows up in our work

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