• Consulted on user-facing BI and data workflows across cloud warehouses like Snowflake, BigQuery, Redshift, DataBricks to identify Warehouse performance bottlenecks and improve dashboard efficiency by 40%.
• Partnered with Product, Engineering, and customer data teams to translate business requirements into scalable data solutions, improving BI workflows
• Built and maintained data pipelines, governed datasets, and semantic data models (DBT, SQL) to support scalable analytics and AI data applications for various domains and use cases.
• Automated AI workflows and internal tooling using Claude, Glean, RAG Systems, Python, Sigma GraphQL APIs, with cloud integrations and object storage across AWS and GCP environments , improving operational efficiency.
• Led root cause analysis and incident resolution to improve system reliability, reducing recurring BI outage issues. Closely collaborated with Product, Customer Success & Support teams to triage issues and influence Product roadmap features and bugs using tools like Jira and Confluence.