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🏦 Banking Data Warehouse & Analytics Project

Overview

End-to-end Banking Data Engineering and Analytics project focused on data cleaning, ETL pipelines, SQL Server Data Warehousing, Star Schema modeling, and interactive Power BI dashboards for financial and risk analysis.


Architecture

Raw Banking Data
        ↓
Python Data Cleaning
        ↓
SQL Server
        ↓
SSIS ETL Pipelines
        ↓
Star Schema Data Warehouse
        ↓
Power BI Dashboards

Technology Stack

Layer Technologies
Data Processing Python, Pandas
Data Warehouse SQL Server
ETL SSIS
Data Modeling Star Schema
Visualization Power BI

Data Warehouse Design

Fact Table

  • Fact_Client_Financials

Dimension Tables

  • Dim_Client
  • Dim_Income_Band
  • Dim_Risk
  • Dim_Banking_Profile
  • Dim_Date

Power BI Dashboards

Banking Performance Overview

Overview Dashboard


Customer Insights & Segmentation

Customer Insights Dashboard


Risk Analysis Dashboard

Risk Analysis Dashboard


ETL & Data Warehouse Assets

Banking Star Schema

Banking Star Schema


SSIS Data Flow Pipeline

ssis_pipeline


SSIS Client ETL Pipeline

SSIS Client ETL Pipeline


Repository Structure

Banking-Data-Engineering-Project/
│
├── data/
├── notebooks/
├── powerbi/
├── project_screenshots/
├── README.md
└── LICENSE

Contributors

  • Reham Mohammed
  • Sara Abuzied