As a data engineering expert with extensive experience at Workday, Stord, and Kaizen Analytix, I offer insights on building scalable data solutions and leveraging AI to drive business value.

I am an analytics engineer at Workday, where I develop and maintain robust data transformation pipelines that drive efficient data flow across the organization. My expertise spans a comprehensive tech stack including DBT, Trino/Presto, Python, and various cloud platforms, allowing me to innovate and automate data models that significantly impact pipeline architecture. In my previous role as the sole data engineer at Stord, I led critical initiatives that resulted in $72,000 annual cost savings and achieved near-perfect data accuracy. I revamped the entire data infrastructure by implementing strategic fact table separations, which dramatically enhanced query performance and optimized data retrieval processes. During my tenure at Kaizen Analytix, I spearheaded data engineering efforts that directly contributed to substantial client success. My work on anomaly detection tools helped increase client revenue by $2 million within a year. I also re-engineered an operations optimizer that generated approximately $3.5 million in annual savings. My academic foundation includes a Master's in Computer Science from Northern Illinois University, where I served as both a Graduate Teaching Assistant and Research Assistant. During my thesis work, I explored AI-driven Intelligent Tutoring Systems while managing a team of 350 students and improving their programming skills. I have a proven track record of collaborating with cross-functional teams on cutting-edge projects, including the development of Gen-AI/Machine Learning solutions for enhanced customer interactions. My expertise in data modeling, ETL processes, and machine learning is complemented by hands-on experience with various database management systems and cloud platforms like GCP, AWS, and Azure. Beyond my core data engineering work, I'm currently developing ScafwordingReWord, an AI-powered educational application that leverages my research background in intelligent tutoring systems to help non-native English speakers master vocabulary more effectively. This project exemplifies my commitment to applying technical expertise to solve real-world challenges. With my comprehensive understanding of data architecture, cloud platforms, and ML/AI tools, coupled with a track record of delivering efficient, scalable solutions, I continue to push the boundaries of what's possible in data engineering and analytics.