Summary
Monish Khambhati is a data engineer with 9 years of experience designing cloud-native, cost-efficient data platforms and end-to-end pipelines. He has driven multi-million-dollar revenue support by replacing legacy middleware with a Python-based integration platform on Kubernetes and cutting integration and orchestration costs by up to 90% while maintaining high availability. Skilled in Python, Airflow, dbt, Terraform, and AWS, he has modernized ETL at scale—moving millions of rows from Oracle to S3/Redshift and accelerating ingestion development with frameworks like dlt. Monish pairs hands-on implementation with platform-level thinking, migrating CI/CD from Jenkins to GitHub Actions and stabilizing Airflow workloads on Kubernetes to improve deployment speed and uptime. He also brings a pragmatic research background, having automated large-scale text extraction for academic projects and mentored students, which surfaces in his focus on automation and developer experience. Based in Vancouver, he is seeking roles as a Software Data Engineer or Data Platform Engineer to continue transforming data infrastructure into measurable business value.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at California State University, Long Beach
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at Gujarat Technological University (GTU)
English, Gujarati, Hindi