Summary
Hasil Sharma is a Senior Software Engineer with 13 years of experience building scalable big-data and real-time streaming platforms, currently focused on Kafka-based infrastructure at Ramp after shaping Stripe’s Data Platform. He has deep hands-on expertise with Kafka, Spark, Storm, Cassandra and cloud platforms, and is fluent in Python, Java, Scala and C/C++, routinely operating fleets of clusters handling petabyte-scale throughput with millisecond latencies. His background includes designing resilient, stateful data pipelines at Microsoft and Walmart that improved performance and reduced runtime, plus experience automating deployment, monitoring and incident response across global systems. A Masters graduate in Computer Science (Data Science Engineering) from CU Boulder, he blends academic ML knowledge with production-grade engineering. Notably, he has repeatedly delivered ultra-high-availability streaming services (Stripe: 40+ Kafka clusters, 99.9999% availability) and a track record of optimizing large-scale data flows and recovery workflows.
13 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Masters degree Computer Science, Masters degree Computer Science at University of Colorado Boulder
English, Hindi, Punjabi