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mohamed-ibrahim-data/README.md

Hi, I'm Mohamed Ibrahim 👋

  • 🚀 Data Engineering Trainee at Digital Egypt Pioneers Initiative (DEPI)
  • 🐍 Developing my skills in Python and Pandas for data processing
  • 💾 Strong SQL Skills (Joins, CTEs, Window Functions, Aggregations)
  • 🗄️ Working with SQL Server and Data Warehousing

🚀 About Me

I am a Data Engineering Trainee at the Digital Egypt Pioneers Initiative (DEPI), passionate about building data solutions and working with data pipelines.

I have strong SQL fundamentals and hands-on experience with SQL Server, Data Warehousing, ETL processes, and data transformation. I am currently developing my Python and Pandas skills to strengthen my data engineering capabilities.

My goal is to build scalable and reliable data solutions and start my professional career as a Data Engineer.

🛠️ Tech Stack

SQL Server Python

🚀 Featured Data Projects

Exploratory Data Analysis (EDA)

  • Advanced SQL data analytics project showcasing trend analysis, cumulative analysis, performance metrics, segmentation, and reporting to generate business insights from structured datasets.

Retail Sales Data Pipeline

  • This project is an end-to-end Automated ETL (Extract, Transform, Load) Pipeline built with Python. It processes real-world retail company data, extracting it from raw CSV files, applying complex business transformations, and loading it into a structured SQL Server data warehouse. The primary objective of this pipeline is to prepare clean, analytical-ready datasets for future Business Intelligence (BI) and dashboarding purposes.

SQL Data Warehouse

  • Built a Data Warehouse consolidating data from CRM and ERP systems, performing ETL, data cleaning, and transformation to create analytics-ready datasets.

📫 Connect With Me

LinkedIn GitHub Email

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  1. SQL-Data-Warehouse-Project SQL-Data-Warehouse-Project Public

    Building a Modern Data Warehouse Using SQL Server: ETL, Data Modeling, and Analytics

    TSQL

  2. SQL-Exploratory-Data-Analysis-EDA- SQL-Exploratory-Data-Analysis-EDA- Public

    Advanced SQL data analytics project showcasing trend analysis, cumulative analysis, performance metrics, segmentation, and reporting to generate business insights from structured datasets.

    TSQL

  3. Retail-Sales-Data-Pipeline Retail-Sales-Data-Pipeline Public

    This automated Python ETL pipeline processes real-world retail data. It extracts raw CSVs, applies complex business transformations, and loads clean data into a SQL Server Datawarehouse, preparing …

    Python 1