Ankur Napa

WORK HISTORY

EDUCATION

ABOUT ANKUR NAPA

I help breweries, wineries, and distilleries improve fermentation consistency, product quality, operational efficiency, and sustainability using data engineering and AI on Microsoft Fabric, Databricks, and Azure.I combine hands-on brewing experience with data engineering, data visualization, and applied AI to solve real production problems in beer, wine, and spirits manufacturing.I work on:– Fermentation prediction and risk detection– Quality control analytics and anomaly detection– Production and sales dashboards– Raw material optimization– AI-assisted recipe and process modeling– Commercial planning and sales analytics– Sustainability analytics (water, energy, CO₂, waste, yield efficiency)– Smart brewery, winery, and distillery data platformsPreviously, I worked in commercial brewing operations, primarily in R&D, and later transitioned into data analytics and AI/GenAI development. This allows me to translate brewery-floor challenges into practical, scalable data systems that work reliably in real production environments.Technology stack:Microsoft Fabric (Lakehouse, Data Factory, Warehousing, Power BI) • Azure (Data Lake, Synapse, Azure ML, Functions) • Databricks (PySpark, Delta Lake) • Python • SQL • Power BI • Streamlit • Machine Learning & Generative AICertification:Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)I’m currently building applied AI systems for fermentation monitoring and beverage quality optimization, along with advanced sales and commercial analytics and sustainability performance tracking tightly integrated into brewing, distilling, and winemaking process optimization strategies and end-to-end data platforms.If you work in brewing, winemaking, distilling, or beverage manufacturing and are exploring data-driven production, sustainability optimization, or AI adoption, feel free to connect.