Emad Hamdy

Experienced Data Professional | Data Engineering|Analytics| Architecture| Data Warehousing |Consulting Results-driven data professional with 12+ years of experience in data engineering, analytics, and architecture. I am skilled in building scalable data pipelines, models, and architecture to support enterprise analytics. Proven ability to collect, interpret, and integrate data from multiple sources to drive business insights. Strong programming expertise combined with data science knowledge to unlock value from big data. Effective communicator, collaborating across teams to deliver impactful solutions.

Cloud engineering professional with proven ability to design and manage scalable cloud solutions. Known for driving cloud adoption and optimizing performance across multiple platforms. Highly collaborative and results-driven, with focus on continuous improvement and adaptability. Key skills include cloud architecture, automation, and team leadership.

Senior cloud engineer with professional expertise and readiness for impactful roles in cloud computing. Strong focus on team collaboration and achieving results, adaptable to changing needs. Skilled in cloud architecture, automation, and infrastructure management. Known for reliability, problem-solving, and leadership.

• Led the design and implementation of one of Ontario Health’s largest projects, the Ontario Autism Program (OAP), HSO and ODSP managing a budget exceeding $3 billion (2022-till now).
• Architected a highly scalable data ecosystem using Azure Data Factory (ADF), Synapse Analytics, and Data Lake, ensuring seamless integration and processing of large datasets (2022-till now).
• Integrated multiple critical data sources from McMaster University, Serafin, and various healthcare platforms, leveraging Salesforce, Microsoft Dynamics, Oracle, SQL Server, web APIs, and real-time data streaming technologies.
• Played a key role in the automation team, driving process improvements that streamlined over $1 billion in expense automation using Blue Prism and Hyper science, enhancing efficiency and reducing manual processing time (2022-till now).
• Designed and optimized ETL pipelines to enable efficient data flow across multiple platforms, supporting data-driven decision-making and operational efficiency for Ontario Health initiatives (2022-till now).
• Spearheaded the implementation of an archiving management system across 20 entities, enhancing data accessibility and compliance (2019–2024).
• Architected a comprehensive data model design for Business Intelligence (BI), ETL (Extract, Transform, and Load), and indexing specifications to improve data processing and analytics.
• Led the design and deployment of a central ERP system for 12 entities, replacing manual processes with Oracle E- Business Suite to drive efficiency and accuracy.
• Implemented end-to-end Robotic Process Automation (RPA) using UiPath, delivering over $3 million in ROI by automating key business processes.
• Managed multiple end-to-end business intelligence solutions using Power BI and Tableau, driving data-driven decision- making (2019–2024).
• Defined strategies and delivered innovative solutions for new business activities using advanced technologies such as Alteryx, Machine Learning (ML), and Deep Learning (DL) to improve operations and forecasting capabilities.