metabase-pipeline

Automate marketing data ingestion into PostgreSQL by running Python-based ETL pipelines orchestrated with LangGraph, which normalize Google Ads and Facebook Ads data for Metabase visualizations. The pipelines handle multi-client data synchronization securely.

Yes, you can isolate ETL workflows for multiple clients. The pipeline applies per-client isolation to ensure secure credentials handling and repeatable deployments across different data sources like GA4, Google Ads, Facebook Ads, and PrestaShop.

The best way to orchestrate repeatable ETL pipelines for GA4 and PrestaShop data is using LangGraph orchestration, which coordinates scalable Python-based workflows to load normalized marketing data into a PostgreSQL data warehouse.

To set up a new client environment for multi-client Metabase data synchronization, initialize the environment using the provided setup script, then run the full configurable ETL workflow for the chosen client.

Yes, the data pipeline handles credentials securely for multi-client Metabase deployments. It enforces environment and credential safeguards with strict client isolation and non-secret handling throughout the ETL orchestration process.

The script-driven ETL pipelines are limited to specific data sources: GA4, Google Ads, Facebook Ads, and PrestaShop. They require a PostgreSQL data warehouse and depend on Python-based LangGraph orchestration to execute the multi-client data workflows.