I am a Data & AI Engineer designing and building scalable data platforms, cloud-native data pipelines, analytics solutions, and AI-driven applications. My expertise spans Azure, Databricks, PySpark, SQL, Python, Delta Lake, Machine Learning, GenAI, and modern Lakehouse architectures. Throughout my career, I have worked across FMCG, Manufacturing, Data Governance, Health Care and Airline domains, helping organizations transform raw data into trusted, analytics-ready assets that support business intelligence, AI initiatives, and enterprise decision-making. Experienced in: • Azure Data Engineering • Databricks & Delta Lake • PySpark & Spark SQL • ETL/ELT Pipeline Development • Data Modeling & Lakehouse Architecture • Data Governance & Quality • Machine Learning Workflows • MLflow, Feature Engineering & Model Deployment • GenAI, RAG Pipelines & Vector Databases • Power BI Analytics & Reporting I hold multiple industry-recognized certifications including Databricks Data Engineer Professional, Databricks Data Engineer Associate, Microsoft Azure Data Engineer (DP-203), Microsoft Fabric Data Engineer, and Databricks GenAI Associate. I enjoy mentoring aspiring data engineers, sharing practical industry knowledge, reviewing resumes, conducting mock interviews, and helping professionals build successful careers in Data Engineering, Machine Learning, and AI.