Summary
Amit Paul is a data scientist and seasoned data engineer with over a decade of hands-on experience designing and operating cloud-native, scalable data pipelines across AWS, Azure, and GCP. He has led end-to-end implementations—using tools like Kinesis, Redshift, Databricks, Snowflake, Airflow, Spark Streaming and DynamoDB—to power real-time analytics and ETL automation for enterprises such as Kaiser Permanente, The Home Depot, and Caterpillar. Known for blending engineering rigor with pragmatic automation, he builds CI/CD-enabled data platforms and visual ETL tools that accelerate analytics and ML deployment. Amit pairs strong Python and Spark expertise with production API and streaming work, having built data marts, cleansing pipelines, and prediction layers for diverse verticals. Based in Karnataka, India, he brings a results-driven mindset and a subtle focus on operationalizing models and observability that often distinguishes production success from pilot projects.
3 years of coding experience
13 years of employment as a software developer
BCA, Computer Science, A+, BCA, Computer Science, A+ at Rajasthan Technical University, Kota