Summary
Sourav Dash is a pragmatic software engineer with 8 years of experience designing and operating large-scale, low-latency data pipelines across retail and fintech, having processed flows of 500M+ SKUs per day and delivered sub-2ms fraud-detection paths. He blends deep data-engineering skills (Spark, Kafka, Airflow, Hadoop) with cloud-native practice on AWS and GCP, migrating legacy Hadoop ecosystems to EKS and building Kubernetes-backed pipelines for real-time ML. At firms like Walmart, Visa, and JPMorgan Chase he has driven measurable impact—cutting storage by ~70%, automating cost and inventory signals, and creating observability frameworks for 10-minute SLA workloads. Adept at both SQL and NoSQL tuning, Sourav favors pragmatic automation and observable systems that turn messy data into actionable decisions. He’s curious by nature—“making data meaningful” is more than a GitHub tagline—and continually explores ML/AI-driven improvements to data ingestion and decisioning.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Institute of Technology Warangal
gangadhar meher college,sambalpur
High School, Basic Skills and Developmental/Remedial Education, High School, Basic Skills and Developmental/Remedial Education at Saraswati sishu vidya mandir ,titilagarh