At Loblaw Companies, I design dimensional and semantic data models with Snowflake, dbt, and SQL to support KPI reporting and self-service BI. I also develop ELT workflows and governed Power BI and Tableau solutions.
At Retailogists, I consulted for clients across retail, e-commerce, ticketing, finance, and insurance. I developed reusable implementation patterns that reduced client onboarding from two weeks to one day.
I also improved executive Power BI dashboard refresh times from 15–20 seconds to under two seconds through persisted tables, stored procedures, and optimized semantic models. My work included automated data-quality monitoring and BI delivery for Aldo supply-chain stakeholders.
Earlier, at Hudson's Bay Company, I managed production data pipelines and migrated merchandising reporting workflows to Power BI with Snowflake-backed semantic models, reducing weekly reporting from one week of manual Excel work to two days. I also built Python projects for quantitative trading and equity direction prediction.

