Samy Elsayed

Leading the design, development, and optimization of large-scale data pipelines and analytics solutions across AWS ecosystem (Redshift, S3, Athena, Glue, Kinesis).
Architected and maintained telecom-focused data warehouses and fact tables (factmessage, factvoice, factconversational, factomnilink) powering advanced reporting and dashboards.
Implemented ETL/ELT workflows using Python, SQL Server, and SSIS, ensuring high data quality, scalability, and performance tuning (VACUUM, ANALYZE, dist/sort keys).
Collaborated with cross-functional teams (Analytics, QC, DevOps, MIS) to resolve complex data issues, enhance monitoring, and automate monthly/weekly processes (currency rate updates, incremental refresh, archiving).
Contributed to machine learning projects for SMS traffic fraud detection (AIT), leveraging Python-based models and data preprocessing pipelines.
Mentored junior engineers and promoted best practices in data governance, testing, and documentation.