Design, build, operate, and improve production data pipelines using Airflow, BigQuery, and GCP. Develop scalable data models, backend APIs, dashboards, and AI-powered workflows that transform documents into structured customer-facing intelligence. Implement LLM and agentic systems with retrieval, tool calling, evaluation, quality controls, and production safeguards. Collaborate with analysts, product teams, and stakeholders while independently solving ambiguous engineering problems.

Owns custom data solutions by triaging client requests, assessing feasibility, querying and validating data in BigQuery, and building one-off dashboards or reports. Partners with Sales, Customer Success, Product, leadership, clients, and Engineering to scope work, communicate data limitations, present findings, define requirements, and hand off validated solutions for technical implementation.

Build and maintain a full-stack Django and React application while modernizing legacy code, reducing technical debt, upgrading frameworks, and decomposing oversized modules. Design and deliver customer-specific solutions end to end, validate decisions using SQL and metrics, and contribute to cloud deployment, access management, CI/CD, monitoring, and database architecture. The role also involves technical writing, demos, stakeholder alignment, and AI-assisted development.