Technologies
dbt
dbt
Most data problems don't start in the dashboard. They start in the layer between raw data and reporting, where logic lives in scattered SQL, spreadsheets, and one person's head. dbt brings that layer under control. It turns your transformations into tested, documented, version-controlled code, so every metric means the same thing no matter who pulls it. Getting it right takes more than installing a tool: it takes a clear project structure, sensible modeling, and a team that actually trusts the output.
Most data problems don't start in the dashboard. They start in the layer between raw data and reporting, where logic lives in scattered SQL, spreadsheets, and one person's head. dbt brings that layer under control. It turns your transformations into tested, documented, version-controlled code, so every metric means the same thing no matter who pulls it. Getting it right takes more than installing a tool: it takes a clear project structure, sensible modeling, and a team that actually trusts the output.
Why Choose dbt?
One Definition for Every Metric: Business logic is written once, in one place. Revenue, active customers, and churn stop changing depending on who built the report.
Built-In Testing and Data Quality: Tests run alongside your models, catching duplicates, nulls, and broken relationships before they reach a dashboard and before anyone loses trust in the numbers.
Documentation That Stays Current: Models, columns, and lineage are documented as part of the work itself, so new team members can see where a number came from without chasing down the person who built it.
Works With Your Existing Warehouse: dbt runs on top of the platforms you may already use, including Snowflake, Databricks, BigQuery, and Redshift, so you keep your stack instead of replacing it.
Engineering Discipline for Analytics: Version control, code review, and automated deployments bring the same reliability to your data models that software teams expect from their code.
Why Choose dbt?
One Definition for Every Metric: Business logic is written once, in one place. Revenue, active customers, and churn stop changing depending on who built the report.
Built-In Testing and Data Quality: Tests run alongside your models, catching duplicates, nulls, and broken relationships before they reach a dashboard and before anyone loses trust in the numbers.
Documentation That Stays Current: Models, columns, and lineage are documented as part of the work itself, so new team members can see where a number came from without chasing down the person who built it.
Works With Your Existing Warehouse: dbt runs on top of the platforms you may already use, including Snowflake, Databricks, BigQuery, and Redshift, so you keep your stack instead of replacing it.
Engineering Discipline for Analytics: Version control, code review, and automated deployments bring the same reliability to your data models that software teams expect from their code.
Our dbt Consulting Services
dbt Implementation & Project Setup
Setting up dbt the right way from day one: repository structure, environments, naming conventions, and deployment, planned around how your team actually works.
Data Modeling & Transformation
Turning raw, messy source data into clean, layered models that are ready for analysis, with business logic that is clear, reusable, and easy to change as the business evolves.
Migration from Legacy SQL & Stored Procedures
Moving scattered scripts, stored procedures, and spreadsheet logic into dbt, with each step planned and verified so your reports keep working while the foundation improves underneath them.
Testing & Data Quality Monitoring
Building automated checks into your pipelines so problems are caught early, with clear alerts instead of surprises in front of leadership.
Documentation & Data Lineage
Making your data understandable: documented models, defined metrics, and a clear view of how data flows from source to dashboard.
Orchestration & CI/CD Setup
Scheduling runs, automating deployments, and testing changes before they go live, so updates are safe, repeatable, and do not depend on one person's laptop.
BI & AI Readiness
Shaping your dbt models so they plug cleanly into your reporting layer, whether that's Power BI, Tableau, or Qlik, and so your data is structured and trustworthy enough to support AI and machine learning work.
Training, Support & Managed Services
Hands-on training for your team, plus ongoing support and optimization after go-live, so your dbt project stays healthy as your data and your business grow.
Our dbt Consulting Services
dbt Implementation & Project Setup
Setting up dbt the right way from day one: repository structure, environments, naming conventions, and deployment, planned around how your team actually works.
Data Modeling & Transformation
Turning raw, messy source data into clean, layered models that are ready for analysis, with business logic that is clear, reusable, and easy to change as the business evolves.
Migration from Legacy SQL & Stored Procedures
Moving scattered scripts, stored procedures, and spreadsheet logic into dbt, with each step planned and verified so your reports keep working while the foundation improves underneath them.
Testing & Data Quality Monitoring
Building automated checks into your pipelines so problems are caught early, with clear alerts instead of surprises in front of leadership.
Documentation & Data Lineage
Making your data understandable: documented models, defined metrics, and a clear view of how data flows from source to dashboard.
Orchestration & CI/CD Setup
Scheduling runs, automating deployments, and testing changes before they go live, so updates are safe, repeatable, and do not depend on one person's laptop.
BI & AI Readiness
Shaping your dbt models so they plug cleanly into your reporting layer, whether that's Power BI, Tableau, or Qlik, and so your data is structured and trustworthy enough to support AI and machine learning work.
Training, Support & Managed Services
Hands-on training for your team, plus ongoing support and optimization after go-live, so your dbt project stays healthy as your data and your business grow.
dbt SUCCESS STORIES
Snowflake SUCCESS
STORIES
JetBlue
JetBlue adopted dbt to remove data engineering bottlenecks, giving more of its team a way to build and maintain data models without waiting in a queue.
Mastery Logistics
This logistics software company used dbt to build out a modern data function in just five months, creating a solid analytics foundation quickly.
LendInvest
The UK lender paired dbt Cloud with data observability tooling to speed up loan processing and reduce risk, with more reliable data behind critical lending decisions.
Flipside Crypto
Flipside built a consumer-facing blockchain data product on dbt Cloud, showing that dbt can power customer-facing data products as well as internal reporting.
Snowflake SUCCESS STORIES
AT&T
As one of the largest telecom providers in the U.S., AT&T needed a system capable of processing hundreds of petabytes of data every day while still delivering a fast, reliable customer experience. Snowflake gives AT&T the scale and performance to handle that volume without compromising on speed.
Coca-Cola
After running on a Spark-based data environment, Swire Coca-Cola migrated to Snowflake and saw meaningful gains in cost savings, operational efficiency, and system reliability — a common outcome for companies moving off complex, self-managed Spark infrastructure.
Sigma
As a BI platform built on top of Snowflake, Sigma used Snowflake's unified AI and data capabilities to boost sales efficiency and shorten sales cycles — showing how deeply Snowflake's platform can be embedded into a company's core operations, not just used as a backend database.
Terakeet
This marketing and brand strategy firm used Snowflake's AI capabilities to identify new market opportunities for its clients dramatically faster than before — cutting research time by 98% and giving its team the ability to act on insights while they're still relevant.
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Let's Build Your Snowflake Foundation
Let's Build Your Snowflake Foundation
Whether you're migrating for the first time, cleaning up an existing setup, or ready to add AI-powered analytics on top of your data, we can help you get there — with a plan built around your business, not a generic playbook.
Data Ingestion
BI Insights
AI & Machine learning
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Currently booking for September - December 2026
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