Summary
Vaquar Khan is a senior data architect and cloud-native engineer with a decade of experience designing and delivering large-scale data lake, analytics, ML and GenAI solutions at enterprises including AWS and Synchrony Financial. He combines hands-on polyglot development (Java, Python, Scala) with deep distributed systems and Big Data expertise (Spark, Hadoop, Kafka) to solve billion-record scale problems and operationalize real-time and batch ML pipelines. A certified AWS expert with practical GCP, Azure and PCF experience, he blends architecture-level thinking with engineer-level execution—building microservices, serverless platforms, CI/CD, Docker and Kubernetes into production-grade systems. His background in capital markets and collateral optimization gives him rare domain fluency in BFSI use cases alongside technical depth. Active in standards and open source (JSR 368, Apache Spark) and a public contributor on GitHub and StackOverflow, he frequently bridges community-driven design with enterprise requirements.
10 years of coding experience
5 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Science (B.Sc.), Mathematics and Statistics, Bachelor of Science (B.Sc.), Mathematics and Statistics at Barkatullah university bhopal
English, Hindi, Urdu, Arabic