At Rogers Communications, I implement Azure Data Factory pipelines that move data into Azure Data Lake Store and develop batch and real-time workflows with Databricks, PySpark, and Event Hub. I also improved processing performance by 30% while assisting with the migration of on-premises data systems to Azure.
At Rogers, I fine-tuned open-source LLMs for domain-specific NLP tasks and integrated them into LangChain RAG pipelines, with FastAPI endpoints for AI-driven insights. I also built Power BI dashboards using data from Azure Synapse and Databricks Delta tables.
Previously, at Ford, I supported multi-cloud data engineering and serverless analytics, including AWS Lambda applications and S3-based data lakes. At Cognizant, I worked on GCP data pipelines and led the design and deployment of Data Engineering Execution Platform (DEEP) workflows.

