• Build and optimize scalable data pipelines using Python and SQL for enterprise data processing.
• Maintain Snowflake data warehouse infrastructure, ingest enterprise sources via Fivetran, design and maintain dimensional data models using dbt, with documentation and tests for analytics and reporting.
• Orchestrate complex workflows using Apache Airflow (Astro) with DAGs for automated data processing.
• Built ValidX, a data validation framework (Python, YAML, Snowflake) with multi-env support, CI/CD integration (GitLab/GitHub), Slack alerts, and optional LLM-based failure summarization and root-cause hints.
• Built an agentic on-call RCA system for data products: LangGraph agent + MCP tools that resolve Atlan assets, sync dbt manifests, and auto-trace column lineage through compiled SQL to root-cause data quality incidents.

• Developed an AI-powered Training Foundation Builder leveraging the RAG approach to generate baseline training content, enabling teams to kickstart their content creation process efficiently.
• Integrated a chatbot with advanced conversation and session handling features, providing users with real-time assistance and a seamless interactive experience.
• Designed the application with an intuitive user interface to simplify usage for non-technical users, enhancing accessibility and adoption.

Statistical methods, mathematical modelling & analytical foundations. Core training in probability theory, inferential statistics, and data analysis techniques.

Advanced studies in optimization, decision science & data-driven modelling. Specialization in algorithmic problem-solving and quantitative methods for complex systems.