About Me

I'm an aspiring Data Engineer and Business Intelligence professional based in Alberta, Canada, with a passion for transforming raw data into actionable insights. Currently completing my Certificate in Business Intelligence & Data Engineering at NAIT, I specialize in building robust ETL pipelines, data warehousing solutions, and analytics platforms using modern cloud-based technologies.

My technical journey combines hands-on experience with data automation, database optimization, and full-stack development from my internships at SSDN Technologies and Godrive Solution, where I reduced processing times by 40% through Python and SQL automation. I've applied this expertise to real-world projects like the Alberta Affordability Data Platform — an end-to-end ETL pipeline built on Databricks using Apache Spark and Delta Lake with Medallion Architecture.

Beyond technical skills, I bring strong leadership and operational excellence from my role as Crew Trainer & Operations Lead at McDonald's, where I manage training programs for 15+ team members and coordinate high-volume operations serving 200+ customers per shift. This experience has sharpened my abilities in process optimization, documentation, and cross-functional communication — essential skills for translating business requirements into data solutions.

I'm actively engaged in Alberta's tech ecosystem through Technology Alberta and ASTech events, and the DAMA Edmonton Conference, where I network with data professionals and stay current with industry trends in data governance, cloud data warehousing, and modern data stack technologies. I'm seeking opportunities in data engineering, business intelligence, and analytics where I can leverage my technical skills and operational mindset to drive data-driven decision-making.