Sahil Grover
Data Engineer
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSahil Grover is a Data Engineer with nine years of experience who currently builds real-time, secure data pipelines at Scotiabank using Azure Data Factory, Snowflake, and Databricks. He combines a BTech in Computer Science with postgraduate studies in Artificial Intelligence and Big Data, bringing both theoretical depth and hands-on ETL optimization using Python and Power BI. His work emphasizes data integrity and security controls while delivering anomaly detection and fraud analysis solutions informed by reinforcement learning techniques. Prior roles at Morgan Stanley, fintech startups, and Tech Mahindra sharpened his ability to productionize analytics in regulated and fast-moving environments. Sahil is comfortable bridging analytics and engineering—translating advanced models into performant, auditable pipelines that stakeholders can trust. Based in Old Toronto, he often blends applied AI methods with pragmatic engineering to solve real-world financial data challenges.
9 years of coding experience
4 years of employment as a software developer
Artificial Intelligence, Artificial Intelligence at Durham CollegeIK Gujral Punjab Technical UniversityBig Data Analyst, Big Data, Big Data Analyst, Big Data at Georgian College
Github Skills (1)
jekyll8
Programming languages (2)
Github contributions (5)
sahilgrover/CSN-212
Feb 2017 - Apr 2017
Contributions:17 pushes, 1 branch in 1 month
sahilgrover/TCP-Outcast
Oct 2018 - Nov 2018
Contributions:5 commits, 2 pushes in 1 month
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