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Data Engineer with 1+ years in Big Data, Cloud, and ETL pipelines.
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Data Engineer with 1.5+ years of experience in designing and building scalable data pipelines, ETL processes, and data workflows. Strong background in Big Data and Data Warehousing, with hands-on experience in developing data-driven solutions. Proficient in Python, SQL, and Apache Spark, with solid experience in distributed data processing and cloud-based architectures. Experienced with modern data engineering tools, including Microsoft Fabric, AWS Glue, Redshift, Databricks, and Airflow.
Al Azhar university
Bachelor's · Computer Engineering
August 1, 2020 – June 30, 2025
Global Brands Group
Data Engineer
February 1, 2026 – Present
New Cairo, Cairo Governorate, Egypt
Al Dana nursery
Data Engineer
September 1, 2024 – October 1, 2025
UAE
Gaming-Platform-Project-EndToEnd-Data Warehousing
June 24, 2026 – Present
Built an enterprise Data Warehouse (data wherhous) for a Gaming Platform using SSIS, SSAS, and Power BI with a full ODS-Stage-DWH architecture. Implemented Incremental Load across all layers and applied strong Dimension Validation to ensure high data quality and consistency. Delivered advanced analytics through SSAS with 27 measures and 5 calculated columns, supported by interactive Power BI dashboards for business insights.
View ProjectPort Operations Data Warehouse | SQL Server, SSIS, Power BI
June 24, 2026 – Present
Designed and implemented a fully documented end-to-end Data Warehouse solution for port and logistics operations, including dimensional modeling, SSIS ETL pipelines, SCD Type 1 & Type 2 implementations, data quality controls, audit logging, and Power BI reporting. Delivered analytical KPIs for vessel calls, container movements, gate transactions, equipment utilization, and terminal performance.
View ProjectRealtime Data Streaming Pipeline (using Airflow, Kafka, Spark,Cassandra)
June 24, 2026 – Present
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
View ProjectEndtoEnd-DataEngineer-Project-using-Microsoft-Fabric (PySpark,Lakehouse)
June 24, 2026 – Present
Built an enterprise Data Warehouse using Microsoft Fabric, Lakehouse, and PySpark with a complete Medallion Architecture (Bronze-Silver-Gold). Implemented Incremental Load processes across all stages to optimize performance and ensure efficient data processing. Applied robust Dimension Validation and Surrogate Key generation in the Data Warehouse layer to maintain high data quality, consistency, and historical tracking. Developed scalable ETL pipelines and analytical data models to support reporting and business intelligence through interactive Power BI dashboards.
View ProjectBatch ETL Data Pipeline for Retail Data Consolidation (Databricks ,SQL,Spark,S3)
June 24, 2026 – Present
A batch ETL pipeline designed for a real-world retail acquisition use case, where a large retail company consolidates data from an acquired company into a unified lakehouse architecture. The pipeline is built using Python, SQL, Apache Spark, and Amazon S3, following the Medallion (Bronze-Silver-Gold) architecture to enable scalable, reliable, and analytics-ready data processing.
View ProjectSmart City – Realtime Data Engineering Project
June 24, 2026 – Present
Built an end-to-end, production-like real-time data pipeline using Kafka, Spark Structured Streaming, Docker, and AWS (S3, Glue, Redshift, Athena) to process streaming data and deliver analytics-ready datasets.
View Projectend-to-end-data-Science Stack overflow job description classification
June 24, 2026 – Present
A project that analyzes Stack Overflow job postings to predict the skills required for each role. The pipeline leverages natural language processing and machine learning to provide insights on in-demand skills
View ProjectMachine Learning for Data Scientists
Unknown
June 1, 2026 – Present
Deep Learning for Computer Vision
Unknown
June 1, 2026 – Present
AWS Academy Cloud Foundations
Unknown
June 1, 2026 – Present
AWS Machine Learning for Natural Language Processing
Unknown
June 1, 2026 – Present
Data Analyst in Power BI
Unknown
June 1, 2026 – Present
Data Scientist with Python
Unknown
June 1, 2026 – Present
Data Analyst in SQL
Unknown
June 1, 2026 – Present
Machine Learning with Python
Unknown
June 1, 2026 – Present
Ai & data science - AWS Machine Learning Engineer
Digital Egypt Pioneers Program (DEPI)
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical experience across various data engineering domains, including traditional data warehousing, real-time streaming, and lakehouse architectures. The mix of professional and personal projects, along with certifications in ML/AI, indicates a proactive approach to skill development and a broad technical curiosity. This aligns well with a culture that values continuous learning and diverse problem-solving approaches. The candidate's experience with both Microsoft and AWS ecosystems shows flexibility.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, continuous learning, critical thinking, team collaboration, and time management as soft skills. Project descriptions indicate practical application of these skills in designing and implementing complex data solutions. The candidate's experience with diverse tools and architectures suggests adaptability and a continuous learning mindset, which are positive indicators for operational fit.