Summary
Smit Shilu is a senior data engineer and consultant with 10 years of experience designing and operating cloud-native, real-time data platforms across AWS, GCP, and Azure. He has led migrations and architecture projects—from building Kafka/Druid clusters and BigQuery jobs to moving Synapse workloads into Databricks—while mentoring teams and codifying architectural decisions for long-term maintainability. Comfortable across the stack, he combines hands-on Spark, Python, and SQL expertise with production ML prototyping (TensorFlow, OpenCV) and embedded deployments. At startups he scaled systems to ingest billions of events daily; at enterprise clients he focuses on cost-optimized, secure, and observable pipelines. A TensorFlow contributor who also publishes tutorials as a YouTuber and blogger, he pairs technical depth with a talent for making complex data engineering concepts accessible.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University at Albany
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at CHARUSAT
Hindi, Gujarati, English