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Data Engineer with 4+ years of experience building scalable cloud-native data platforms, ETL pipelines, and enterprise software applications. I specialize in designing production-grade data workflows using Python, SQL, Airflow (Cloud Composer), Dataproc, BigQuery, and Google Cloud Platform, with a strong focus on automation, reliability, and software engineering best practices.

In my current role at CVS Health, I develop end-to-end data pipelines involving API integrations, complex data transformations, automated testing, CI/CD, and business reporting. I have also led AI-driven engineering initiatives using Vertex AI and Gemini to modernize legacy applications and improve developer productivity. My experience extends to Java and .NET enterprise applications, giving me a strong software engineering foundation alongside data engineering expertise.

I hold an M.S. in Applied Analytics from Columbia University and a B.Tech. in Computer Science with a minor in Big Data Analytics. My research background includes speech processing and natural language processing, with publications at international conferences.