Hannan Ahmed

I’m a Business Intelligence professional with 6+ years of experience building scalable data pipelines, ETL processes, and analytics solutions. I specialize in SQL and Python, and I’ve delivered end-to-end data infrastructure across AWS and Azure using modern BI and data stack technologies.

Most recently as a BI Engineer at Amazon, I led a Premium Selection analytics program implementing a comprehensive metrics framework across 400+ premium brand stores in 8 geographies. I architected SQL data pipelines for critical premium metrics and developed automated reporting analyzing 71M premium customers—driving premium GMS growth and margin improvement. I also built ETL processes for Virtual Try-On analytics and led a generative AI solution for B2B product compliance verification that reduced manual review time by 75% using USDA nutrition standards validation.

Previously at CIBC, I built data and reporting infrastructure with SQL, Tableau, and Python to deliver real-time marketing and business KPI insights. I improved data quality by 50%, reduced call center SLA issues by 35% through root cause reporting, supported HR dashboards with Tableau, and led Power BI adoption in the Enterprise data and analytics space. Earlier roles included decision support and DXC/CIBC analytics work—forecasting, regression modeling, service request data repositories, automation with Alteryx, and tools that saved 40 hours of manual effort—while consistently focusing on measurable business impact.