With 5+ years of hands-on experience, I specialize in delivering impactful data solutions within food and beverage, healthcare and sports analytics. I excel at end-to-end data engineering, data modeling, and optimizing data workflows using technologies like Python, SQL, Spark, Azure Data Factory and Databricks. My passion lies in transforming complex technical concepts into actionable insights for non-technical stakeholders, while maintaining a focus on data quality, business intelligence, and scalable solutions. Throughout my career, I've led multiple data engineering projects, managing high volumes of healthcare claims data and creating efficient data models for in-depth analysis. I also have experience automating pipelines, leveraging Spark optimizations, and implementing advanced data governance practices. In addition to my technical skills, I have a strong background in teaching and mentoring, having taught data analytics best practices and machine learning techniques to students and professionals alike.