Mohd Khan is a Senior Data Engineer with 10 years of experience designing and shipping large-scale ETL solutions that process terabytes of data using Spark, Scala, Python, Hadoop, Airflow and AWS. He has a strong track record across analytics-focused firms—optimizing partitioning and processing costs at Sigmoid, building PySpark-based JSON-to-Hive/Snowflake pipelines for a major US insurer at Tiger Analytics, and now scaling data platforms at EXL. Comfortable across both engineering and data domains, he combines low-level performance tuning with practical pipeline orchestration to reduce query latency and operational cost. A B.Tech in Computer Engineering from YMCA University, he brings production-grade rigor from earlier software roles at Samsung and hands-on experience parsing complex semi-structured data at scale.
10 years of coding experience
7 years of employment as a software developer
Senior Secondary Non Medical, Senior Secondary Non Medical at Rawal Convent School
B.TECH Computer Engineering, B.TECH Computer Engineering at J.C. Bose University of Science and Technology, YMCA
Contributions:31 commits, 1 PR, 36 pushes in 2 months
torch
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