Tools, systems, judgment.
The working stack behind my AI analytics products, data engineering, and the governed layers underneath them.
01
AI & LLM Systems
Data agents, text-to-SQL, RAG, and the evaluation and guardrails that make their answers trustworthy.
- Data Agents
- RAG
- Text-to-SQL
- Prompt-driven Visualization
- LLM Evaluation & Guardrails
- Prompt Engineering
- Power BI Copilot
- Microsoft Fabric Copilot
- Copilot 365
- Automated Variance Analysis
- Narrative Generation
02
Data Engineering
Curated, AI-ready datasets and pipelines that join ERP, CRM, and planning data into one governed layer.
- Snowflake
- Microsoft Fabric
- SQL
- Python
- AI-ready Datasets
- Multi-source Integration
- Pipeline Automation
- Data Quality
- SSIS
- Oracle
- Vertica
- Impala
03
Analytics & Semantic Modeling
Semantic models and governed metrics that keep AI answers and certified reports on the same numbers.
- Semantic Models
- Governed Metric Layers
- Power BI
- DAX
- Power Query
- Self-service Analytics
- Executive Reporting
- Calculation Groups
- Incremental Refresh
- Paginated Reports
- Tabular Editor
- AG Grid
04
Automation & Apps
Low-code apps, workflow orchestration, and process automation for operational teams.
- Alteryx
- Power Automate
- Power Apps
- UiPath