About
Vikram Ramesh Babu
13+ years building large-scale data platforms, distributed software systems, and AI-powered solutions. Currently at Amazon in Seattle, working on self-service data infrastructure and developer tooling for B2B Sales.
What I do
Product engineering. I ship end-to-end — from architecture and data modelling to UI polish and deploy. Over 13 years spanning startups, global consultancies, and Amazon-scale systems.
AI systems. LLM integration, RAG pipelines, agentic AI, memory and embeddings, streaming UIs, prompt engineering, and cost-aware guardrails. I've shipped AI features to production and dealt with the billing surprises.
Data & visualization. Real-time dashboards, D3-driven maps, event-driven ETL pipelines, data warehousing at scale, and geopolitical data modeling across a dozen heterogeneous sources.
Full-stack craft. TypeScript, React, Next.js, Python, Node.js, Postgres (Supabase/Neon/Redshift), Vercel, AWS (Lambda, Step Functions, CDK, EC2, DynamoDB, S3). I write the backend, own the deploy, and sweat the mobile breakpoints.
Experience
Senior Data Engineer
·Amazon·Seattle, WA- –Designed and built a full-stack, event-driven self-service data operations platform (React/Cloudscape frontend, Python serverless backend, Step Functions orchestration, DynamoDB config store) that reduced data operations turnaround by 99% — from 2–3 days to under 15 minutes.
- –Designed and built a serverless API gateway, Python SDK/CLI, and AWS CDK stack bridging REST clients to internal services with OAuth2 auth, multi-region routing across 3 global stacks, circuit breakers, and canary deployments — reducing cohort pipeline provisioning from 8 hours/week to seconds and enabling 12× scale (40 → 500+ cohorts).
Data Engineer
·Amazon·Toronto, Canada- –Architected and maintained the team's core analytical data platform on Amazon Redshift, serving as the foundation for all analytics and reporting for the 3P Seller business.
- –Solely designed and launched a self-managed Tableau Server on AWS (EC2, EBS, VPC, ELB, Route53, SES) with enterprise SSO, DNS, and network security integration.
- –Built scalable ETL and automation pipelines to ingest, model, and persist data from multiple upstream sources; produced standardized metrics and data models distributed via Amazon's internal data exchange platform.
Data Engineer
·Infosys Limited·Toronto, Canada- –Led a large-scale cloud migration for a global food and beverage company, building data models and ELT pipelines to forecast product shipment logistics and consumption metrics for the Sales Operations supply chain planning team.
Senior Associate Consultant
·Infosys Limited·Frankfurt, Germany- –Built an enterprise-wide Data Lake on the cloud for Business and IT Services. Conducted data-to-value hackathons and internal training to drive platform adoption across the organization.
Senior Associate Consultant
·Infosys Limited·Bangalore, India- –Built multiple B2C systems for customer engagement across customer-facing and sales-force channels. Led requirement gathering, user story elaboration, software testing, and ETL data management.
Software Engineer
·HCL Technologies·Chennai, India- –Developed and maintained customer support systems and data warehouses for a US pharmaceutical company across the full SDLC.
Education
Master of Business Administration — IT & Operations
Indian Institute of Technology, Madras · Chennai, India
Bachelor of Engineering — Electrical & Electronics
Anna University · Chennai, India
Certifications
Microsoft Azure Fundamentals
Microsoft · AZ-900
Microsoft Azure AI Fundamentals
Microsoft · AI-900
AWS Certified Cloud Practitioner
Amazon Web Services
Certified Scrum Product Owner
Scrum Alliance
Advanced Green Belt Six Sigma
IIT Madras