I bring over 10 years of hands-on experience in Data Engineering and Cloud Solutions, with a strong focus on Databricks and AI/ML solution architecture. My passion lies in building scalable, intelligent data platforms using the latest capabilities of the Databricks Lakehouse Platform — from Delta Live Tables and Unity Catalog to LakeFlow pipelines, AI functions, and MLOps integration. I specialize in designing end-to-end solutions that seamlessly blend data engineering, advanced analytics, and machine learning, helping businesses move from raw data to real-time insights and intelligent decision-making. My technical expertise includes Azure Databricks, PySpark, MLflow, Azure Data Factory, Azure SQL, Logic Apps, Python, and C#. As a Microsoft Certified Data Engineer and Cloud Architect, I’ve conducted over 1,500 interviews in the Azure Data Engineering space, identifying top talent and shaping high-performing engineering teams. My experience spans across automotive, insurance, finance, and retail, supporting both startups and large enterprises. I’m passionate about mentoring aspiring data engineers and AI enthusiasts. Through my training, I help students and professionals master modern Databricks features, understand real-world architecture patterns, and gain practical skills in AI/ML model building, MLOps, and data product development.