Summary
Mohamed Kamal is a Senior Data Warehouse Engineer with 9 years of experience designing resilient ETL pipelines, automating data workflows, and driving CI/CD for analytics platforms. He has led migrations to open-source dbt and optimized Snowflake architectures while building Kubernetes-based monitoring and alerting that materially improved data reliability. His background spans real-time systems—implementing Flink/Debezium/Kafka pipelines for fraud detection and schema-aware migrations—as well as full-stack engineering early in his career. Comfortable across Python, Java, Airflow, Prefect and cloud orchestration, he combines hands-on implementation with a knack for operationalizing data quality and onboarding new models quickly. Based in Alexandria, Egypt, Mohamed pairs a strong academic foundation in Computer and Systems Engineering with a practical track record of cutting downtime and speeding insight delivery.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer and Systems Engineering, GPA: 3.7, Percentage: 85.84%, Bachelor's degree, Computer and Systems Engineering, GPA: 3.7, Percentage: 85.84% at Alexandria University