Abdullah Emad

I’m a Data Analysis Trainee who builds analytics-ready data transformation workflows using Python and SQL, with a focus on clean, reliable datasets. At NTI, I streamlined data cleaning and analysis, and created interactive Power BI dashboards to support data-driven decision-making.

My projects extend into end-to-end data engineering and analytics: I’ve designed data warehouses with star schema modeling using SSIS/SQL Server and Medallion Architecture, built containerized ELT pipelines with dbt and Docker, and developed a real-time streaming pipeline with Kafka, Spark, and Airflow for scalable ingestion. I also completed an “Intelligent Stroke Detection System” graduation project using a Random Forest model, backend APIs, and a generative AI chatbot—bringing applied ML alongside practical production-style data workflows.