data-engineering-medallion-pipeline

Deploy a Medallion architecture pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow.

5|1|Updated May 16, 2026

Search Tags:#data pipeline #data engineering #Airflow #DBT #Medallion architecture

Ready to run

npx skills add https://github.com/Aradotso/data-skills --skill data-engineering-medallion-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-engineering-medallion-pipeline
Source: https://github.com/Aradotso/data-skills/tree/main/skills/data-engineering-medallion-pipeline
Command: npx skills add https://github.com/Aradotso/data-skills --skill data-engineering-medallion-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires minio, airbyte, postgresql, dbt, airflow, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive solution for setting up and managing a data engineering pipeline with a Medallion architecture, streamlining the process of data ingestion, transformation, orchestration, and validation.

Core Features & Use Cases

End-to-End Pipeline: Integrates MinIO, Airbyte, PostgreSQL, DBT, and Airflow for a complete data engineering solution.
Medallion Architecture: Implements the Medallion architecture (Bronze/Silver/Gold layers) for structured data management.
Use Case: Deploy this Skill to create a robust data pipeline that can handle various data engineering tasks, from data ingestion to data visualization.

Quick Start

Deploy the data-engineering-medallion pipeline using the provided instructions in the SKILL.md file.

Frequently Asked Questions about data-engineering-medallion-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a Medallion architecture data pipeline with DBT and Airflow?▼

To build a Medallion architecture data pipeline, this Skill integrates DBT for transformations and Airflow for orchestration across Bronze, Silver, and Gold layers, handling ingestion and validation with robust error mechanisms.

What is the Medallion architecture approach for structuring data engineering tasks?▼

The Medallion architecture is a structured data management approach that organizes data into Bronze, Silver, and Gold layers, progressively improving data quality and structure from raw ingestion to refined analytics.

How do I orchestrate data ingestion and transformation using Airbyte and PostgreSQL?▼

This Skill orchestrates data ingestion and transformation by using Airbyte for data extraction and PostgreSQL for storage, coordinating the workflow through Airflow to ensure validated data movement.

Can I use MinIO as the storage layer for a DBT Medallion architecture pipeline?▼

Yes, this Skill deploys a complete pipeline where MinIO serves as the object storage layer, feeding data into the Medallion architecture alongside PostgreSQL, DBT, and Airflow for end-to-end engineering.

What is the best way to set up an end-to-end data engineering pipeline with validation and error handling?▼

The best way to set up an end-to-end data engineering pipeline is deploying this Skill, which combines MinIO, Airbyte, PostgreSQL, DBT, and Airflow to manage ingestion, transformation, and validation with robust error handling.

Do I need to configure all five dependencies to run this data engineering pipeline?▼

Yes, this pipeline requires configuring MinIO, Airbyte, PostgreSQL, DBT, and Airflow, as these components collectively provide the ingestion, storage, transformation, and orchestration capabilities needed.