DataForge MultiCloud is an end-to-end CRM data platform built around a modular ETL architecture andDataForge MultiCloud is an end-to-end CRM data platform built around a modular ETL architecture and
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DataForge MultiCloud is an end-to-end CRM data platform built around a modular ETL architecture and Medallion Design Pattern (Bronze → Silver → Gold).
The pipeline extracts contact data from HubSpot, validates records with Pydantic, separates invalid data into quarantine storage, and loads clean datasets into BigQuery for transformation and analytics. Data processing is organized into dedicated layers for ingestion, validation, warehousing, orchestration, and reporting, allowing components to evolve independently.
The project combines Python, Apache Airflow, dbt, BigQuery, Azure Blob Storage, DuckDB, Docker, and Pydantic to create a production-style data workflow with data quality controls, incremental processing, warehouse modeling, and analytics-ready marts.
Special attention was given to operational reliability through invalid-record isolation, warehouse validation workflows, modular loaders, documented deployment procedures, and comprehensive project documentation covering architecture, data flow, warehouse layers, orchestration, testing, and deployment.
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