Summary
Pranshu Sahijwani is a Senior Data Engineer with 9 years of experience specializing in cloud-native data platforms, DevOps automation, and real-time streaming using Airflow, Kubernetes, Kafka/NATS, and Python. He has a proven record of delivering production-grade systems under pressure—optimizing Airflow on Kubernetes, cutting API latency from 743ms to 70ms at 300 RPS, and modernizing legacy ETL into modular, cloud-ready architectures. Certified as a Kubernetes Application Developer, he couples strong observability practices (Prometheus/Grafana) with CI/CD tooling like Docker, Helm, and Azure DevOps to ensure resilient, scalable pipelines. His work at IBM included building Elastic ML jobs and sophisticated Kibana monitoring that anticipated operational issues, reflecting a data-driven approach to reliability. A high-achieving MTech graduate from IIT Kanpur, Pranshu blends rigorous academics with hands-on engineering and a pragmatic focus on automation that frees teams to ship faster. He is actively seeking roles where he can apply end-to-end DevOps and data engineering expertise to solve complex, real-time data problems.
9 years of coding experience
5 years of employment as a software developer
9.8/10, 9.8/10 at St. Mary's Convent Senior Secondary School
Bachelor of Technology - BTech, Computer Science and Engineering, 8/10, Bachelor of Technology - BTech, Computer Science and Engineering, 8/10 at NIIT University
Indian Institute of Technology Kanpur
92%, 92% at St. Mary's Convent Senior Secondary School
English, Hindi