Data & AI Solution Architect with 8+ years of experience designing and delivering enterprise-scale data platforms, GenAI solutions, and AI/ML models for Fortune 500 clients across Retail, Healthcare, and Telecom. ● Proven expertise in multi-cloud architecture, integrating and migrating data and AI workloads across Azure, AWS, and Google Cloud Platform to ensure seamless interoperability and high performance. ● Currently leading Data Analytics engagements at Microsoft, guiding multi-disciplinary teams to build scalable, secure, and production-ready Data & AI solutions while driving cloud modernization and automation. ● Deep knowledge of Azure services including Synapse, Databricks, Data Lake, Azure Machine Learning, and Azure OpenAI, with hands-on experience in MLOps and LLMOps for large language model deployment. ● Strong background in Data & AI strategy, large-scale platform design, and GenAI/LLM architecture, translating complex business needs into actionable technical solutions. ● Experienced in stakeholder management, pre-sales solutioning, and go-to-market planning to help organizations adopt data-driven decision making. ● Skilled in Big Data technologies such as Spark, Hadoop, Hive, and MapReduce, and in developing advanced ETL and analytics solutions on cloud platforms. ● Seasoned public speaker, regularly presenting at technology community events and conferences to share insights on AI, cloud strategy, and modern data engineering practices. ● Passionate about mentoring and enabling teams, fostering innovation, and creating measurable business impact through data and AI. ● Available for IT consulting sessions to help organizations or individuals design high-impact data and AI strategies, modernize cloud infrastructure, and unlock measurable business value through actionable insights and scalable solutions.