Udemy End-to-End AWS Data Engineering Project Bank Fraud Detection (1 Viewer)

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 Udemy End-to-End AWS Data Engineering Project Bank Fraud Detection (1 Viewer)

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End-to-End AWS Data Engineering Project: Banking Fraud Detection Pipeline (S3, Glue, Lambda, Redshift, Step Functions)


What you’ll learn


Build a complete end-to-end AWS Data Engineering pipeline from scratch using real-world banking data

Design and implement a multi-layer architecture (Raw → Bronze → Silver → Gold)

Ingest and process data from Amazon S3 using scalable data lake principles

Develop serverless data workflows using AWS Lambda for event-driven processing

Create and optimize ETL pipelines using AWS Glue with PySpark

Apply advanced data transformations including cleansing, standardization, and feature engineering

Implement partitioning strategies to improve performance and reduce query cost

Build fraud detection logic using real-time business rules and scoring techniques

Query large datasets efficiently using Amazon Athena

Load and analyze data in Amazon Redshift for analytics and reporting

Orchestrate end-to-end workflows using AWS Step Functions

Automate pipelines using event-driven architecture (S3 → Lambda → Step Functions)

Write real-world SQL queries for fraud analysis and business insights

Understand data engineering best practices used in production environments

Build a portfolio-ready project to crack Data Engineering interviews

AWS Data Engineering Project: Banking Fraud Detection Pipeline

Are you ready to build a real-world AWS Data Engineering project that can boost your career and make your resume stand out?

In this hands-on course, you will design and implement a complete end-to-end data pipeline for detecting fraudulent banking transactions using modern AWS services.


Why This Course?


This project is designed to help you:

Crack Data Engineering interviews
Build a strong portfolio project
Gain real-time industry experience
Transition into high-paying AWS roles

Hands-On Learning Approach


This is a project-based course, where you will:


Write real code
Build real pipelines
Solve real problems


By the end of this course, you will have a complete AWS Data Engineering project that you can showcase in interviews and on your resume.

 

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