Data Engineering Trainee | AI & Data Science Student
Building data pipelines and intelligent systems using Python and SQL
Hello, I'm Omnia Ahmed, an enthusiastic Data Engineering trainee with a background in Information Technology and currently studying AI and Data Science.
I am developing strong skills in Python, SQL, and data engineering concepts, focusing on building data pipelines, processing data, and designing backend data systems.
I am passionate about working with data and continuously improving my technical skills to build efficient and intelligent data solutions.
Bachelor of Information Technology
Institute of Administrative Sciences and Computer Science
Major: Information Systems
Oct 2024 – Present
DEPI – Digital Egypt Pioneers
Ministry of Communications and Information Technology
Oct 2024
Present
Python, SQL
ETL, Data Pipelines, Data Processing
SQLite, SQL
Object Oriented Programming (OOP)
Logging, Datetime, Data Processing
Problem Solving, Communication, Teamwork
A fully structured console-based e-commerce backend system with authentication and order processing.
Features: User registration & login, Role-based access (Admin / Customer), Product management, Shopping cart, Checkout and order creation, Inventory auto-update, Order history, Transaction logging.
Tech Stack: Python, OOP, SQLite3, Datetime
An advanced banking system simulation with multiple account types and transaction tracking.
Features: Savings and current accounts, Interest calculation engine, Deposit / Withdraw / Transfer, Transaction history tracking, Secure authentication, File logging, Error handling system.
Tech Stack: Python, OOP, SQLite3, Logging
A Python data pipeline that processes sales data from CSV files, cleans the data, performs analysis, and generates summary reports.
Features: Data extraction from CSV files, Data cleaning and transformation, Sales aggregation and analysis, Automated report generation.
Tech Stack: Python, Pandas, Data Processing