Summary
Mahmoud Zayed is a Solutions Architect and data engineering leader with about a decade of experience designing cloud-native data platforms and AI-ready architectures, currently shaping Snowflake implementations in the New York metro area. He has led cross-functional, onshore/offshore teams at Accenture to automate finance and ETL processes, assess AI readiness, and close strategic gaps for GenAI integration. His background spans end-to-end data work—data vault modeling, migrations to Snowflake/Redshift, Talend/Matillion pipelines, and BI/analytics delivery—across healthcare, finance, retail, and telecom clients. A practical technologist who rose from BI and ETL consulting to principal AI/ML architecture, he pairs hands-on engineering with client-focused strategy and a track record of delivering production-ready platforms.
10 years of coding experience
2 years of employment as a software developer
Postgraduate Studies ( Pre-Master), information system, Postgraduate Studies ( Pre-Master), information system at Mansoura University
ITI 9-Month Professional Diploma, Data science and big data analytics, ITI 9-Month Professional Diploma, Data science and big data analytics at Information Technology Institute (ITI)
Professional Development Training, New York, US, Professional Development Training, New York, US at Upwardly Global
Credential of Readiness (CORe), Credential of Readiness (CORe) at Harvard Business School
English, Arabic