PROJECTS
Enterprise scope.
Public evidence.
Selected work across enterprise data engineering and public data products. Enterprise descriptions are sanitized; public projects link to inspectable code.
ENTERPRISE WORK
Professional experienceTaking a Databricks platform from proof of concept to production, with integration patterns, modeling standards, and governance used across engineering and analytics teams.
Technical architecture and platform engineering
DatabricksSparkDelta LakeUnity CatalogAWS
ENTERPRISE WORK
Professional experienceLLM and RAG architecture for document processing, structured extraction, metadata enrichment, vector search, and enterprise search over governed data.
LLM/RAG workflow architecture
LLMsRAGStructured extractionVector search
ENTERPRISE WORK
Ongoing initiativeData engineering technical ownership across migration, integration architecture, reconciliation, reporting, downstream modeling, and governance.
Technical owner, data engineering
PUBLIC PROJECT
Public implementationA public data product with canonical geography, required provenance, and a clear boundary between ingestion, transformation, and publication.
Public engineering project
PythondltDuckDBdbtParquetCloudflare
EARLIER PUBLIC WORK
ArchivedVoter aggregate insights
An earlier application using DuckDB to prepare aggregates, ClickHouse for analytical queries, and FastAPI to expose province-to-ward statistics.
DuckDBClickHouseFastAPIDocker