I am a Data Engineer at a major airline with extensive experience designing, building, and maintaining modern data platforms at scale. My work spans analytics engineering, data orchestration, and software development, with a strong emphasis on reliability, performance, and clean data modeling. I hold a Bachelor’s degree in Computational Statistics and Data Science and a Master’s degree in Data Analytics, giving me a strong foundation in both statistical theory and applied analytics. In industry, I work extensively with dbt, Azure Data Factory, SQL, and Python, and I also have deep experience with C++ and C# for systems and application development. Alongside my industry role, I serve as an adjunct professor teaching computer science. I focus on helping students understand core concepts such as programming, data structures, and software design, not just how things work, but why they work. I bring that same teaching mindset into mentoring and advising professionals. I am especially well suited to help with data engineering career guidance, dbt modeling and analytics engineering best practices, SQL performance and data modeling, bridging academic knowledge to real world data engineering, and technical interview preparation. If you are looking for practical, no fluff guidance grounded in real production systems and strong fundamentals, I am happy to help.