Aakash Redu — Business Analyst

Senior Business Intelligence Engineer with over 9 years at Amazon, specializing in large-scale analytics, data modeling, and building data-driven solutions that enable high-impact business decisions. I operate at the intersection of data, business strategy, and technology—transforming complex datasets into clear, actionable insights for senior leadership. My work focuses on designing scalable analytics frameworks, enabling faster decision-making, and driving clarity across global operations. I bring deep expertise in: 1) Data Engineering & Querying: Advanced SQL (Amazon Redshift), Python, large-scale data processing, and performance optimization 2) Cloud & Data Infrastructure: AWS services including S3, Lambda, API Gateway, and internal platforms like Cradle for building scalable data workflows 3) Analytics & Experimentation: Hypothesis testing, impact decomposition, and advanced analytical modeling 4) Data Visualization: Building high-adoption dashboards in Amazon QuickSight 5) Business Storytelling: Translating analytical outputs into executive-ready narratives Beyond traditional analytics, I am currently focused on building MCP (Model Context Protocol) systems for analytics, enabling intelligent interpretation of business questions and automated query generation. I’m also expanding into front-end engineering, developing AI agent–driven applications that bridge the gap between users and data through intuitive, interactive experiences. I enjoy working on problems that combine data, systems thinking, and user experience—pushing toward a future where interacting with data is as seamless as having a conversation.

Stackforce AI infers this person is a Business Intelligence expert specializing in data engineering and analytics within a SaaS environment.

Experience: 9 yrs