Krishna Kumar is a Senior Data Engineer II based in Canada with a decade of experience designing cloud-native data platforms that cut costs and accelerate insight. He has led end-to-end projects—from real-time CDC and telemetry streaming to deploying a data platform on EKS integrating Airflow, dbt, and Databricks—delivering sub-minute data latencies and saving organizations hundreds of thousands monthly. At Udacity he unified pipeline infrastructure on Kubernetes, migrated Airflow at scale, and built a centralized user-profile message bus that enabled 360-degree views for analytics and third-party integrations. Equally comfortable in Go, Python, Spark, and Kafka, he bridges data engineering and ML by turning telemetry into features for recommendation engines and serving SageMaker models via GraphQL. Known for pragmatic automation and cost optimization, he combines strong DevOps/CI-CD practices with a background in CS and a continuous curiosity for AI and machine learning.
10 years of coding experience
7 years of employment as a software developer
High School Computer Science, High School Computer Science at Chettinad Vidyashram
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Amity University, Greater Noida Campus
Data Architect Nanodegree School of Data, Data Architect Nanodegree School of Data at Udacity
Contributions:4 pushes, 1 branch in 4 years 2 months
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