Ahmed Fayad
Data Engineer
About
Data Engineer with hands-on experience building production-grade pipelines processing 1M+ daily records (AWS Glue, Redshift Serverless) and real-time streaming systems with Kafka and Spark. Skilled across the modern data stack — ETL/ELT design, distributed processing (Hadoop/Spark/Hive), cloud data warehousing (AWS, Azure Synapse), and data quality automation. Led teams through multiple end-to-end capstone projects, from DataNexus — a data quality and observability framework — to a churn prediction system deployed at 0.91 ROC-AUC, and now instructs Huawei's HCIA Big Data program, growing from foundational data science training into production-grade cloud and big data engineering.
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