Tyler Swanson

I am a dynamic and results-oriented Senior Data Engineer with over 10 years of experience in designing and delivering scalable, AI-based data solutions across healthcare, finance, and insurance industries. My expertise lies in developing real-time data pipelines and machine learning models that enhance operational efficiency and clinical improvements. I hold both a Master of Science and Bachelor of Science in Computer Science from the University of Texas at Austin.

Throughout my career, I have successfully managed the development of AI-driven healthcare data solutions, achieving significant gains in document processing and integration latency. I have designed and deployed complex ETL workflows and cloud-native data ingestion platforms, enabling seamless access to real-time patient data for clinicians. My work has led to improved decision-making processes and enhanced data analytics capabilities across various departments.

In addition to my technical skills in Python, Scala, and various cloud platforms, I am passionate about leveraging machine learning and AI to drive innovation. I have developed predictive models and generative AI solutions that have significantly improved market predictions and investment strategies. I thrive in collaborative environments and am committed to continuous learning and improvement in the ever-evolving field of data engineering.