Marketing ETL & BigQuery Integration Platform
Modernizing marketing data processing into a scalable, automated, analytics-ready cloud ecosystem using Cloud Data Fusion, BigQuery, Airflow, Wrangler validation, and enterprise-grade monitoring workflows.
GCP Data Fusion + BigQuery + Airflow Case Study Revuteck delivered an enterprise-grade marketing ETL modernization solution by building scalable ingestion and validation workflows on Google Cloud Platform. The solution included Cloud Data Fusion pipelines, Wrangler validation, BigQuery warehouse integration, Airflow orchestration, error handling workflows, production support operations, and SRE-driven monitoring capabilities.
Business Required:
The client operated multiple marketing systems, generating campaign, customer, lead, channel, and engagement datasets from different platforms and external feeds. The existing workflow relied on manual processing, inconsistent validation, and limited monitoring capabilities, resulting in operational delays and unreliable analytics readiness.
The business required a modern ETL platform that could:
Automate marketing data ingestion
Improve validation and data quality
Enable faster analytics readiness
Reduce manual operational effort
Improve error traceability
Support scalable ETL orchestration
Improve workflow monitoring
Establish production-ready support operations
Solution Summary
The solution modernized the marketing ETL ecosystem by introducing a cloud-based architecture where:
Marketing source files were ingested through Cloud Data Fusion
Wrangler handled validation and cleansing workflows
BigQuery served as the central analytical warehouse
Error records were routed into dedicated error tables
Airflow orchestrated workflow scheduling and monitoring
BQ Shell supported operational execution workflows
SRE monitoring improved observability and operational reliability
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