dbt engineering for clean, tested analytics data
Codersarts builds dbt projects that turn raw warehouse data into trusted models for reporting, finance and AI. Our analytics engineers design layered models, define metrics once, add tests and documentation, speed up slow builds and cut warehouse cost, migrate stored procedures and old SQL scripts to dbt, and run dbt in CI, so every dashboard uses the same, correct numbers.
What Is dbt Development?
dbt development is the building of data transformations with dbt (data build tool), an open-source framework that lets teams write modular SQL models, test them and deploy them in the warehouse. It covers project structure, staging, intermediate and mart models, incremental models, tests, documentation and lineage, macros and packages, the semantic layer and metrics, dbt Cloud and dbt Core, CI/CD and warehouse cost optimization.
dbt brought software engineering practices to analytics. Without structure and tests, dbt projects can still grow into hundreds of slow, overlapping models nobody fully trusts.
dbt Development at a Glance
Item | Detail |
|---|---|
What we build | Analytics models, metrics layers, finance marts, product analytics and AI-ready datasets |
dbt features | Incremental models, snapshots, tests, macros, packages, semantic layer and contracts |
Warehouses | |
Orchestration | dbt Cloud, Apache Airflow and GitHub Actions |
Engagement | Fixed-scope project, dbt audit, migration or ongoing analytics engineering |
What we can do with dbt
Service | What it covers |
|---|---|
dbt project setup | Structure, conventions and environments |
Data modeling | Staging, intermediate and mart layers |
Metrics layer | Shared definitions for key business metrics |
Testing and documentation | Data tests, contracts and lineage |
Performance and cost | Incremental models and warehouse tuning |
Migration | Stored procedures and SQL scripts moved to dbt |
CI/CD | Slim CI builds on every pull request |
dbt audit | Reviewing quality, structure and cost |
What are you trying to accomplish with dbt?
Goal | How we help |
|---|---|
One version of the truth | Shared models and metric definitions |
Trust the data | Tests that catch issues early |
Faster builds | Incremental models and better structure |
Lower warehouse bills | Efficient SQL and materializations |
Replace legacy SQL | Move scripts into tested dbt models |
Prepare data for AI | Clean, documented datasets |
What can we build with dbt?
Application | Example |
|---|---|
Revenue analytics | MRR, churn and expansion models |
Finance reporting | Invoices, payments and revenue recognition |
Product analytics | Events, funnels and retention |
Marketing attribution | Spend and conversions across channels |
Customer 360 | Unified customer tables from many sources |
AI datasets | Feature tables and curated training data |
dbt solutions for different teams
Team | Typical need |
|---|---|
Analytics teams | Reliable, documented models |
Finance teams | Auditable revenue and cost data |
SaaS companies | Subscription and product metrics |
Data platform teams | Standards across many contributors |
Startups | A first modern data stack |
Get the dbt expertise you need
Role | Focus |
|---|---|
Analytics engineer | Models, tests and documentation |
Data engineer | Sources, loading and orchestration |
Data architect | Layering, standards and governance |
BI developer | Dashboards on dbt models |
dbt technology ecosystem
Area | Technologies |
|---|---|
Transformation | dbt Core, dbt Cloud, dbt packages and SQLFluff |
Warehouses | Snowflake, BigQuery and Databricks |
Ingestion | Fivetran, Airbyte and custom loaders |
Orchestration | Apache Airflow and Dagster |
BI | Power BI, Looker and Metabase |
From dbt requirement to production
Audit. Review sources, models, tests and costs.
Design. Define layers, naming and key metrics.
Build. Implement models with tests and docs.
Validate. Reconcile results with known reports.
Automate. Run in CI and on schedules.
Maintain. Add sources and evolve metrics.
dbt in production: what we take care of
Clear model layers from staging to marts.
Tests on keys, values and relationships.
Incremental models for large tables.
Model contracts for critical outputs.
Slim CI that builds only changed models.
Cost monitoring by model and job.
How you can work with Codersarts
Model | Best for |
|---|---|
dbt project | New models and metrics |
dbt audit | Fixing a messy or costly project |
Migration project | Legacy SQL to dbt |
Ongoing analytics engineering | Continuous model development |
Why Codersarts for dbt?
Strength | What it means for you |
|---|---|
Analytics engineering depth | Models built for real decisions |
Testing habits | Data you can trust |
Cost awareness | Efficient warehouse usage |
Full data stack | dbt with Airflow, Snowflake and BI |
Flexible capacity | A project, an engineer or ongoing support |
Related dbt solutions
Solution | What it covers |
|---|---|
Cloud data warehousing | |
Pipeline orchestration | |
Data pipelines | |
Dashboards and reporting |
Frequently Asked Questions
What dbt services does Codersarts provide?
We provide dbt project setup, data modeling, metrics layers, testing and documentation, performance and cost tuning, migration, CI/CD and dbt audits.
Should we use dbt Cloud or dbt Core?
dbt Cloud adds a hosted IDE, scheduling and the semantic layer. dbt Core is free and runs with your own orchestration. We advise per team.
Why is our dbt project slow and expensive?
Common causes are full table rebuilds, deep model chains and inefficient joins. We add incremental models and refactor heavy SQL.
Can you migrate our stored procedures to dbt?
Yes. We rewrite them as tested dbt models and reconcile outputs before switching.
How do you make sure dbt numbers are correct?
We add tests, reconcile against trusted reports and document every model.
Can dbt define our business metrics?
Yes. We use the dbt semantic layer or metric models so every tool uses the same definitions.
Does dbt work with BigQuery and Databricks?
Yes. dbt supports Snowflake, BigQuery, Databricks, PostgreSQL and other warehouses.
Do we own the code?
Yes. All models, code and documentation are yours.
Have a dbt requirement?
Tell us about your warehouse and reporting needs. We will reply with an approach, timeline and price.