At Rogers_Communications, I develop data pipelines and analytics platforms for wealth management and portfolio risk reporting, processing investment transactions, holdings, and market data.
I work across Azure, GCP, Databricks, and Snowflake to support batch and streaming workloads. I also build governed data lakes and curated models for portfolio performance, risk, and regulatory reporting.
At Ford, I developed data engineering solutions for insurance policy, claims, and underwriting analytics. My work included Spark processing, lakehouse data layers, and event-driven ingestion pipelines.
At Capgemini, I assisted with data integration and warehouse workflows for payment transactions, merchant records, and settlement reporting. I hold AWS Certified Data Engineer Associate, Google Cloud Certified – Professional Data Engineer, and Microsoft Certified Azure Data Engineer Associate certifications.
