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Data Engineer with less than a year in data pipelines & ETL/ELT workflows
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Junior Data Engineer with a solid foundation in building and optimizing data pipelines, ETL/ELT workflows, and data warehousing solutions. Proficient in SQL and Python with hands-on experience in stream and batch processing technologies. Comfortable working with both relational and NoSQL databases. Eager to contribute to data-driven teams and deliver reliable, scalable data solutions.
Zagazig University
Bachelor of Computer and Information Science · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Information Technology Institute (ITI)
Intensive Training Program – Data Engineering Track
January 1, 2026 – June 1, 2026
India
CIB Egypt
Data Science Intern
June 1, 2024 – July 1, 2024
India
RetailQ - Real-Time Retail Price Intelligence Platform
January 1, 2023 – June 1, 2023
Built an end-to-end real-time data pipeline that scrapes and tracks product prices across Amazon Egypt, Noon Egypt, and Jumia Egypt every 5 minutes, covering 5 product categories (laptops, mobiles, tablets, TVs, headphones). Designed a Medallion Architecture (Bronze → Silver → Gold): raw data lands in Amazon S3 as Parquet files, cleaned and deduplicated in Snowflake Silver layer, and modeled into a Star Schema (Gold) with 6 analytical views. Implemented a Kafka-based streaming pipeline with Spark Structured Streaming for real-time ingestion, and an Airflow DAG for automated 6-hour orchestration of the full ETL cycle. Developed ML-based anomaly detection for fake discounts and scraping errors, with automated HTML email alerts via Gmail SMTP for high-severity anomalies. Delivered an interactive Streamlit dashboard with live Kafka streaming view and historical Snowflake analytics, featuring cross-platform price comparison and trend visualization.
View ProjectEnd-to-End Data Warehouse for Supply Chain Optimization
September 1, 2022 – January 1, 2023
Developed a complete data warehouse solution integrating ERP (inventory, suppliers, purchases) and CRM (sales, customers, returns) data to deliver unified supply chain insights. Designed and built a Bronze - Silver - Gold ETL pipeline, ensuring data quality, consistency, and scalability. Implemented data cleansing and validation, enforced schemas and data types, and applied merge logic for efficient incremental loading. Modeled a star schema with fact and dimension tables to support analytics on sales, inventory, and supplier performance.
View ProjectEgyptian Restaurant Analytics
May 1, 2022 – August 1, 2022
Ingested and processed 1.5 GB of raw transactional data (11M+ rows across 7 CSV + 2 JSON files) using Fivetran and Databricks through a Raw - Silver - Gold layered pipeline. Modeled a star schema on Databricks and built an interactive Power BI dashboard revealing 2.90 Billion EGP total revenue, an AOV of 261 EGP, and peak-hour patterns (8-10 PM) across a multi-branch Egyptian restaurant chain.
View ProjectUser Behavior Analysis Using API Data
February 1, 2022 – April 1, 2022
Fetched and processed user data from the DummyJSON API using Python and Pandas. Performed data exploration and cleaning to ensure data quality and consistency. Answered key analytical questions through insightful Seaborn and Matplotlib visualizations.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from real-time retail intelligence to supply chain optimization and restaurant analytics, indicate a broad interest in applying data engineering principles across various domains. Their involvement in a student club and mentorship roles suggests a collaborative and learning-oriented mindset, aligning well with a culture that values continuous improvement and teamwork. The target role of Data Engineer aligns perfectly with their demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, time management, teamwork, and self-learning abilities, which are crucial for a data engineering role. Their involvement in the Google Developer Student Club also indicates a proactive and collaborative attitude. The detailed project descriptions suggest good communication skills in conveying technical concepts.