One-stop-shop for docs and test coverage of dbt projects.

A dbt SQL package for ensuring documentation and test coverage, with granular control.

AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.

cli tool for showing test coverage in dbt projects

Analyze test coverage in dbt projects.

Code coverage metrics for dbt models' unit tests.

No description available

This repository contains an example on how to generate test coverage reports for dbt projects using dbt unit tests as reference.

No description available

Like dbt-coverage, but simpler and using go 😝

dbt package to enforce documentation and test coverage — compatible with dbt-core 1.x and dbt Fusion 2.x

dbt project modeling Brazilian e-commerce data on Snowflake — staging, intermediate, and mart layers with full test coverage

SQL + dbt project for GTM funnel cohort analysis and full-funnel forecasting, including pipeline coverage and win-rate modeling.

This dbt-based project aims to analyze the intersection of healthcare accessibility and public transit coverage in Mecklenburg County, NC.

CI/CD for Analytics Engineering : Impact Analysis, AI-powered SQL Review, Query Cost Estimation, Lineage Visualization, and Test Coverage Reporting for dbt PRs

A flexible governance tool for dbt projects to define and enforce rules for data quality, privacy, and compliance. Supports single/multi-project setups, integrates with local dev, and is future-ready for dbt Cloud. Features include metadata validation, test coverage checks, and governance health reporting.

TelecomFlow: Mobile network coverage analysis pipeline. Leverages Docker, Airflow, PostgreSQL, BigQuery, dbt, Grafana, and GCP. Automates ETL, geospatial analysis, and network insights with scalable cloud-native infrastructure. Exploring Open RAN and 5G technologies.

As an intern at Domain Group, I worked in diverse roles that spanned crucial aspects of data engineering, including configuring and optimizing advanced tools like DBT Cloud and Snowflake, and establishing data testing protocols. I played a key role in improving the test coverage metrics for Domain’s data models, increasing coverage from 69% to 82%.

A Python-based internal tooling pattern for auditing and standardizing `schema.yml` documentation across dbt marts. This project demonstrates how analytics engineers can improve documentation consistency, reuse `{% docs %}` blocks effectively, and raise documentation coverage without introducing brittle manual processes.

A production-ready data pipeline that collects and analyzes bike-sharing data from the CityBikes API. Built with Python, DLT (Data Loading Tool), and DBT (Data Build Tool), this pipeline enables comprehensive analysis of bike station coverage and usage patterns.

⚙️ End-to-end Modern Data Stack: Azure Blob → Snowflake → dbt Core → Power BI. Medallion architecture, 35+ models, 100% CI test coverage, Kimball star schema, dynamic RLS, and <1.2s dashboard rendering. Surfaced R$1.2M at-risk revenue from logistics bottlenecks.

Reproducible pipeline (SQL+dbt) analyzing U.S. EV charging with DOE AFDC + NREL data. Cleans/models stations, joins Census population & highway corridors, and computes DC fast coverage per 100k + corridor gap distances. Outputs an interactive dashboard and 1-page memo to prioritize where new fast chargers add the most value.