Data Engineer
Dakota Analytics- Engineered a greenfield data platform using Dagster, DuckDB, and dbt to ETL billions of records
- Led a technical team of 3 to design and implement custom data solutions for enterprise clients
- Built an AI document ingestion framework with Databricks agents, saving 20+ hours of manual entry weekly
- Designed and built the company's first client-facing web application using Django on Azure
- Architected end-to-end data warehouses for large-scale companies using Databricks, Fabric, and SQL Server
- Automated data lineage documentation via GitHub Actions and Claude API, reducing manual overhead by 90%
- Optimized pipeline efficiency by designing incremental refresh policies, reducing latency and compute costs