Aspiring Data Engineer β passionate about using data to drive meaningful insights and innovation.
I'm currently studying Data Engineering, focusing on building efficient data pipelines, optimizing databases, and leveraging cloud technologies for large-scale data processing. I enjoy solving complex problems with SQL and Python, and I'm continuously learning new technologies across the data ecosystem.
- π Query, model, and validate data using SQL (HackerRank SQL Gold-certified)
- βοΈ Building cloud data foundations with AWS (EC2, RDS, Lambda, IAM)
- π Writing Python for data processing, scraping, and automation
- π οΈ Built a multi-source data ingestion pipeline for my graduation project (see below)
- π± Actively learning ETL/ELT workflows, data warehousing, and orchestration tools
- π― Seeking a Data Engineering internship to apply and grow these skills
A multi-source data pipeline that scrapes, normalizes, and stores electronics pricing data from Amazon, Jumia, 2B, and Noon for trend analysis and cross-platform comparison.
- Ingestion: Multithreaded Python scrapers per retailer, feeding a REST ingestion pipeline
- Storage: Structured entities (Product, Listing, PriceHistory) with time-series price tracking
- My role: Built the Jumia scraper service and front-end price comparison views
- π Repo Β· Demo Video
| Language | Level |
|---|---|
| πͺπ¬ Arabic | Native |
| πΊπΈ English | Very Good |
| π©πͺ German | A2 β Goethe-Institut Certified |


