You will get Interactive Power BI Dashboard for E-commerce


Project details
This project stands out by combining robust data modeling with a clean and interactive Power BI dashboard built on the Olist E-Commerce dataset. Unlike simple reports, it was developed on a Data Warehouse (Star Schema), ensuring scalability, accuracy, and consistency across all KPIs. It provides a full view of sales, operations, payments, and customer insights, tailored for both executives and managers. What sets it apart is the integration of advanced DAX measures, optimized relationships, and professional visualization design, making it a reliable tool for decision-making and performance monitoring.
Data Tool
Microsoft Power BIWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 2 | 2 | 4 |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10About Hesham
Data Engineer
Bani Suwayf, Egypt - 4:04 pm local time
I specialize in:
🔹 ETL/ELT pipeline development using tools like Apache Spark, Airflow, and Pandas
🔹 Data wrangling and cleaning for high-quality, reliable analytics
🔹 Database design and querying with SQL, PostgreSQL, and NoSQL solutions
🔹 Cloud data solutions (Azure, AWS, GCP)
🔹 Real-time and batch data processing using Spark, Kafka, and Delta Lake
🔹 Data visualization using Power BI and Python (Matplotlib, Seaborn)
Steps for completing your project
After purchasing the project, send requirements so Hesham can start the project.
Delivery time starts when Hesham receives requirements from you.
Hesham works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Understand your business goals, KPIs, and the story you want the dashboard to tell. Deliverable: short requirement summary with agreed visuals & metrics.
Data Connection & Preparation
Connect Power BI to your data source (Excel, SQL, Data Warehouse, etc.). Perform basic cleaning, relationships, and model setup.




