Fraud Detection Data Platform | GCP, BigQuery, Airflow & dbt

End-to-end Data Engineering platform designed to process and analyze fraud detection data using a modern cloud architecture.

The solution was built on Google Cloud Platform and follows a Medallion Architecture approach, covering ingestion, transformation, data quality, orchestration, and analytics-ready datasets.

Key components:
• Google Cloud Platform (GCP)
• BigQuery
• Apache Airflow
• dbt Core
• Python
• SQL
• Medallion Architecture
• Incremental data pipelines
• Data Quality checks
• Data modeling and transformation

The project demonstrates the complete data lifecycle, from raw ingestion through validated and transformed datasets ready for analytics.

Project developed as a practical Data Engineering portfolio case.