Summary
Shahid Jahagirdar is a pragmatic Data Engineer with nine years of software and data experience, currently building scalable pipelines at lululemon after driving optimization and Lakehouse initiatives at Save-On-Foods. He blends production-grade ETL, Spark performance tuning, and Databricks architecture with hands-on experience moving terabytes of geospatial data into AWS for Precision AI, and has applied ML in real-world settings such as an automated cherry-counting system for Agriculture and Agri-Food Canada. Comfortable across the stack, Shahid has reduced job runtimes, implemented data quality checks, supported on-call production systems, and built REST APIs and internal tools to streamline workflows. His background in deep learning (IISc) and a UBC Master of Data Science informs a practical, research-aware approach—reflected in a GitHub bio that hints at a playful focus on probabilistic modeling and optimization.
9 years of coding experience
5 years of employment as a software developer
CCE Deep Learning, CCE Deep Learning at Indian Institute of Science (IISc)
Ramaiah Institute Of Technology
Master of Data Science, Master of Data Science at The University of British Columbia