rustin k

hello@ | rstk.dev | github | sr.ht

I am interested in data modeling, automating ETL pipelines, and implementing data governance to give AI agents the right context and proper permissions to operate accurately and effectively. I prioritize clean code and stay current with the latest data engineering technologies. I am a high performer with strong proficiency in Databricks.

Technical Skills #

• Languages: Python, R, SQL, and learning Go
• AI: MCP and LLM integration, agent workflows, AI-driven development (Claude Code, Gemini CLI, Codex)
• Cloud & Infrastructure: AWS, GCP
• Data Engineering: Databricks, ETL, data ingestion, Medallion architecture, pipeline orchestration and automation
• DevOps & Tools: Git, GitHub Actions, Docker, CI/CD, Terraform
• Hobbies: Reading (sci-fi, fantasy), documentaries, photography, gaming, working out, nature walks

Employment History #

Professional Experience #

Data Engineer · GRAIL

• Coming soon…
• Built data quality pipeline for biospecimen tracking across clinical studies for reconciling thousands of samples
• Developed AWS data warehouse infrastructure using S3, Glue, Athena, and QuickSight to enable self-service analytics for stakeholders
• Led internal software development as project manager, coordinating with engineering team to deliver key features for biosample management platform

Data Engineer · Delfi Diagnostics

• Led Databricks adoption initiative, migrating workflows from legacy systems and training team members on platform capabilities
  • Develop entire pipelines via Declarative Automation Bundles (DAB)
  • Implemented Medallion Architecture in Unity Catalog
  • Developed ETL orchestration using Spark Declarative Pipelines (SDP)
  • Deployed AI/BI assistant using Genie Spaces
• Built CI/CD pipelines using GitHub Actions and Docker that automated clinical data pipelines
• Automated ETL processes with Dagster Implemented data quality monitoring framework with automated checks and alerting
• Developed 5 internal Python and R packages for data ingestion and tooling, adopted by teams company-wide
• Delivered BI dashboards in Shiny for executive reporting, providing real-time visibility into key metrics
• Created semantic layers following CDISC/ADaM standards, standardizing data for 3 clinical studies
• Built LLM-powered chatbot with DuckDB MCP integration, allowing users to query data in natural language

Additional Experience #

Program Manager · N-Power Medicine

• Managed software development roadmap, prioritizing initiatives that supported business objectives.

Clinical Data Management · Gilead Sciences

• Managed clinical data operations for Phase I clinical trials, ensuring data accuracy and regulatory compliance.

Biosample Coordinator · Genentech

• Coordinated biosample management operations for clinical studies while maintaining data accuracy.

Education #