Loai Mohamed

I am a Computer Science graduate from the Faculty of Science, currently working as a Big Data Engineer with hands-on experience in building, optimizing, and supporting large-scale data pipelines.I work extensively with SQL, PySpark, Hive, Spark SQL, Kafka, and distributed data platforms, focusing on data ingestion, transformation, and analytics across high-volume datasets. My experience includes ETL development, incremental and delta loading strategies, performance optimization, schema design, and handling production-scale data (millions of records per day).I continuously develop my skills by actively working on real-world data engineering problems, studying job responsibilities in depth, and staying aligned with industry best practices. I strongly believe in learning by doing—each role I take on expands my understanding of system design, data modeling, and end-to-end data lifecycle management.I am particularly interested in scalable data architectures, streaming and batch processing, and transforming complex business requirements into reliable, efficient data solutions.