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Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

Design, develop, and maintain scalable .NET applications and services. Lead and mentor developers, implement unit tests, participate in code reviews, follow SDLC and DevSecOps practices, use Jira for tracking, and work with cloud data platforms (Snowflake, Databricks, Azure) while applying AI tools for productivity.

Develop and enhance database-driven product features, provide post-go-live production support, write and optimize complex SQL and stored procedures, perform query performance tuning, and design/maintain triggers, indexes, and views within RDBMS environments.

Develop and optimize responsive web applications using React and TypeScript. Manage state with Redux/Context/Zustand, implement SSR, integrate with REST/GraphQL APIs, write reusable UI components, and improve performance across devices while collaborating with designers and backend teams.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Design and build production AI systems: agentic workflows, multi-agent architectures, RAG, tool-using AI, evaluation and observability pipelines, scalable async execution, failure handling, and standards. Own deployment, monitoring, and mentoring for AI features.