Summary
Sahil Dadia is a Senior Data Engineer with a decade of experience designing and operating end-to-end data platforms that power real-time analytics, ML, and computer vision systems. Based in Dublin, he has deep AWS expertise (Kinesis, Lambda, EMR, Aurora, DynamoDB) and a proven track record building low-latency streaming pipelines, geospatial event detection, and schema-evolving OLTP solutions for telematics and fleet safety. He combines hands-on ML and deep learning skills—having built real-time vision systems for autonomous driving—with strong engineering discipline in Airflow orchestration, CloudFormation, and scalable ETL using Spark. Notably, he designed algorithms to handle out-of-order and late-arriving events without heavy state or watermarking, enabling cost-effective real-time metrics updates. His background spans startup research roles and enterprise engagements (CameraMatics, Hertz, Microsoft), blending research-driven innovation with production-grade delivery.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Mechanical Engineering , Robotics, Computer Vision, Bachelor of Engineering (B.Eng.), Mechanical Engineering , Robotics, Computer Vision at University of Mumbai
MSC in Data Science and Analytics, Data Analysis, MSC in Data Science and Analytics, Data Analysis at Maynooth University
English, Gujarati, Hindi, Marathi