End-to-End Fraud Detection Data Pipeline | AWS, Snowflake, dbt, & GitHub Actions

In this video, I showcase an end-to-end data pipeline I built for detecting fraud using real-time transaction data. This project demonstrates how to efficiently process raw data stored in AWS S3, stage and transform it using Snowflake and dbt, and automate the pipeline with GitHub Actions. Key Highlights: Ingesting raw transaction data from AWS S3 into Snowflake. Data transformations using dbt to create fact and dimension tables. Applying fraud detection logic to identify suspicious transactions. Automating the entire pipeline using GitHub Actions for continuous integration and delivery. This video will walk you through the complete workflow, from raw data ingestion to delivering actionable insights. The source code and documentation are available in my GitHub repository, linked below. 🔗 GitHub Repository: https://github.com/ChuquEmeka/DBT-Fra... #DataEngineering #FraudDetection #AWS #Snowflake #dbt #GitHubActions #ETL #DataPipeline"