Design, build, and support secure, scalable AI-enabled enterprise applications on the Microsoft stack. Implement full stack features, integrate Azure AI capabilities (RAG, embeddings, LLMs), apply prompt engineering and responsible AI patterns, manage CI/CD and Azure DevOps workflows, optimize databases, troubleshoot production issues, produce technical documentation, participate in Agile delivery, and mentor junior developers while collaborating with stakeholders to deliver business-aligned solutions.

Design and implement scalable data solutions using Microsoft Fabric and Azure. Build and orchestrate ETL/ELT pipelines, develop Power BI reports and DAX, optimize T-SQL and KQL queries, model data for Lakehouse/warehouse architectures, integrate varied data sources with Spark/PySpark, automate processes, ensure governance and security, and troubleshoot pipeline issues.