“Nobody trusts the numbers.”
Data Engineering & dbt
Raw data turned into tested Silver and Gold layers in dbt.
- Medallion layers, Bronze to Gold
- dbt modeling, tests & CI/CD
- Conformed data marts
Whether you need Silver and Gold layers modeled in dbt, legacy systems safely migrated to Snowflake, production Agentic AI workflows with Snowflake Cortex, or trusted Power BI reporting — our senior engineers deliver platforms you can trust and leave you capable.
Why teams work with us
“Nobody trusts the numbers.”
Raw data turned into tested Silver and Gold layers in dbt.
“We need to get off SQL Server safely.”
Retire legacy warehouses, with hidden logic rebuilt as tested models.
“We want AI without moving our data.”
AI agents and LLM workflows that run inside your Snowflake account.
“We want a copilot for our business.”
Copilots and RAG apps built on your trusted data.
“Every team has different numbers.”
One source of truth, with dashboards leaders trust.
“We’re not sure what to fix first.”
A one-time health check with a prioritized fix list. See what’s included.
No long discovery phases and no big-bang launches — just steady progress you can see.
We get to know your goals, your data and the people who’ll own the result.
We agree what we’ll deliver and when, so nobody is surprised later.
We work in short cycles and show you something working every couple of weeks.
Docs, runbooks and hands-on time with your team, so you’re not dependent on us.
Yes. We frequently step into setups where Snowflake was stood up with only raw data loaded, and build the Silver (cleansed, conformant) and Gold (business marts) layers in dbt with automated tests and CI/CD.
We systematically reverse-engineer validation rules and business logic from legacy stored procs, scripts, and middleware into modular dbt models. We run dual-run reconciliation to verify 100% data parity before retiring legacy servers.
We build production-ready Snowflake Cortex agents and Cortex Analyst workflows that allow business users to query trusted enterprise data in natural language, automate data quality checks, and execute autonomous multi-step reasoning.
All models and Agentic AI workflows execute inside your Snowflake account or private cloud VPC. Your data is never sent to public LLMs or used for external model training, and we establish strict warehouse and credit caps from day one.
Yes. Whatever BI or reporting tool your teams use, we build clean semantic layers and optimized Snowflake queries behind it, so data refreshes quickly and dashboards load fast.
We train your team throughout the project and hand over full documentation and runbooks. For teams wanting continuous support, we offer fractional platform engineering to keep data models and AI applications running smoothly.
Tell us what you want to build, and we’ll share how we’d approach it.