Data Engineering
Designing reliable pipelines, integrations, and transformations that move operational information into trusted, usable forms.
- ETL/ELT
- SQL
- Data modeling
- Data quality
Expertise
Three practice areas, one connected system.
The work below sits in three areas, and most projects touch all three. The case studies are where you can see which parts run deepest.
How the work divides.
Analytics & Intelligence
Turning operational data into clear models, dashboards, and decision support that help teams act on what is happening.
- Power BI
- Semantic models
- Operational analytics
- Reporting
Applied AI & Automation
Implementing practical AI and automation where they reduce repetitive work and augment human decision making responsibly.
- Applied AI
- AI enabled workflows
- Automation
- Responsible AI
Technical expertise
What I work with.
Grouped by discipline rather than ranked by confidence. Depth varies by line, and the case studies are the honest record of where it runs deepest.
Data & Analytics
- SQL
- T-SQL
- Power BI
- Data modeling
- ETL/ELT
- CloverDX
Cloud & Infrastructure
- Azure
- Microsoft 365
- Docker
- Linux
- Infrastructure as code
Engineering & Development
- Python
- Next.js
- Git
- GitHub / Bitbucket
- APIs
- PostgreSQL / Neon
Enterprise Platforms
- Salesforce
- Jira / Confluence
- SharePoint
- Entra ID
- Intune
Applied AI
- LLM enabled workflows
- AI systems evaluation
- Responsible AI
- Automation
- AI assisted engineering