Shahrukh Khan is a Big Data Engineer with 11 years of experience specializing in Hadoop administration and end-to-end cluster lifecycle work—planning, installation, tuning, troubleshooting and monitoring—across Cloudera and Hortonworks deployments in both public and private clouds. Currently at AWS, he provides premium support to Business and Enterprise customers for managed big data services including AWS Glue, Athena, Lake Formation and Managed Workflows for Apache Airflow, bridging deep on-premise Hadoop expertise with cloud-native data platforms. His background includes senior Hadoop administration roles across manufacturing and services sectors, where he built and hardened production clusters from scratch. Comfortable operating at both infrastructure and platform levels, he’s skilled at translating operational pain points into scalable data solutions and preventive practices. Based in Maharashtra, India, Shahrukh combines engineering rigor from an Electrical & Electronics degree with a practical, customer-focused approach to large-scale data operations.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Savitribai Phule Pune University
HSC, Science, HSC, Science at Maharashtra State Board
Contributions:35 commits, 15 pushes, 1 branch in 2 years 6 months
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