Aditya Nair

About Aditya Nair

I’m a Business Intelligence Engineering Manager focused on turning complex data into clear, actionable decisions at scale. I currently lead BI initiatives across the AWS Commerce Platform, spanning Billing, Payments, Fraud Prevention, and Monetization, where my team’s analytics directly influence VP/S-Team decisions and $1B+ in Free Cash Flow and revenue protection outcomes.My work sits at the intersection of data engineering, analytics, and leadership. I build and scale Redshift-centric analytics platforms, establish strong data quality and operational excellence mechanisms, and ensure executive-ready insights are delivered with speed, accuracy, and trust. A core focus of mine is democratizing business intelligence—making high-quality insights accessible to stakeholders regardless of technical background.I’m particularly passionate about self-service and GenAI-powered analytics. By leveraging natural-language querying, agentic AI workflows, and automation frameworks, I’ve helped reduce ad-hoc BI requests by 40–50%, accelerated insight turnaround from days to minutes, and unlocked 50–70% efficiency gains across recurring analytics workflows.As a people leader, I invest deeply in hiring, coaching, and developing BI engineers, building high-ownership teams that operate with strong business context, technical rigor, and customer obsession. I enjoy working in ambiguous problem spaces, partnering closely with Product, Engineering, Finance, and Leadership to translate data into decisions that matter.Skills: Project Management · PL/SQL · Amazon QuickSuite · People Management · Amazon Redshift · Python · Negotiation · Amazon S3 · Amazon Web Services (AWS) · Statistical Modeling · Product Development · Generative AI · Agentic AI. Machine Learning

Experience

1. Business Intlligence Engineer Manager (Iii)

   Amazon Web Services (AWS)

   Jul 2023 — Present · Seattle, WA, US

   The Commerce Platform Business Intelligence & Analytics (BIA) team serves as the central hub for transforming data into actionable insights across the AWS Commerce Platform. Our north star is the democratization of business intelligence: making trusted insights accessible to stakeholders regardless of technical background.Leadership & Impact Led and developed a BI Engineering team across Billing, Payments, Fraud Prevention, and Monetization, delivering analytics used by VP/S-Team stakeholders to guide $1B+ in Free Cash Flow and revenue protection decisions. Owned BI strategy, roadmap, and execution for WBR/MBR/QBR-critical dashboards, reducing executive decision latency from weeks to <24 hours and eliminating recurring manual reporting. Architected and scaled a Redshift-centric analytics platform (DataFort) integrating S3, Glue, and automated ETL pipelines, improving data freshness from 3–5 days to <24 hours. Established BI quality and operational excellence mechanisms (SLAs, automated data quality checks, anomaly detection), reducing on-call incidents by 40–60% and saving hundreds of analyst hours annually. Drove self-service analytics through QuickSight Spaces, automation frameworks, and GenAI / agentic AI solutions (NLQ, metric explanations, automated investigations), cutting ad-hoc BI requests by 40–50% and accelerating insight delivery from days to minutes. Hired, coached, and mentored BIEs and analysts, championing AI-driven automation to deliver 50–70% efficiency gains across recurring BI workflows.Key Achievements $1B+ FCF impact across 16 AWS/Steam goals analyst hours saved through automation of 5+ P0 scorecards and the BIA MBR Framework 322 new metrics, 20+ dashboards, and support for 46 major initiatives 40+ insights and deep dives driving measurable product and cost improvements, including 29% fraud OPEX reduction and 135% growth in key traffic metrics

Education

• Amrita Institute Of Technology Science

  Bachelor’s Degree

  2009 — 2013

• Case Western Reserve University

  Master’s Degree

  2016

• Weatherhead School of Management at Case Western Reserve University

  MS of Engineering and Management

  2016 — 2017

Skills

• Catia
• Minitab
• Customer Service
• Project Management
• Solidworks
• Powertrain
• Python
• Microsoft Excel
• C++
• Mechanical Engineering
• Business Analysis
• Lean Six Sigma
• Microsoft Word
• Microsoft Office
• Autocad
• Business Process Improvement
• Oracle
• Machine Learning
• Microsoft Powerpoint
• Engineering
• Management Consulting
• Matlab
• Cross-Functional Team Leadership
• Product Development
• Ansys
• C
• Six Sigma
• Leadership
• Investment Management
• R
• Strategic Finance
• Ptc Creo
• Strategy