Modern Skills & Expertise
8+ years across BI, data engineering, and AI-powered analytics
Analytics & Visualization
Data Engineering & Cloud
AI & Automation
Governance & DevOps
Geospatial
Architecture Thinking
How I approach every enterprise BI engagement — from raw requirement to AI-powered delivery
Requirement Discovery
Stakeholder workshops, KPI definition, SRDs & wireframes
Multi-Source Data Ingestion
Pipeline & Transformation
Microsoft Fabric Pipelines, Azure Data Factory, IBM DataStage — orchestrating data from raw to refined.
Raw ingestion — full fidelity, no transformations
Cleansed, deduplicated, typed & validated
Business-ready, aggregated, ready for BI layer
Star Schema · DAX · Semantic Model
Power BI semantic model — measures, hierarchies, RLS, TMDL, PBIP version control
Multi-Platform Dashboard Delivery
Security · RLS · CI/CD · PBIP
Row-Level Security, workspace policies, deployment pipelines, Git version control
AI-Powered BI Ecosystem
Copilot narration · MCP natural language queries · AI-generated DAX · automated insight summaries
Requirement Discovery
Stakeholder workshops, KPI definition, SRDs & wireframes
Multi-Source Ingestion
Oracle, Snowflake, REST APIs, SharePoint, JSON feeds
ETL / Medallion Pipeline
Bronze → Silver → Gold via Fabric, ADF, DataStage
Semantic Model
Star schema, DAX measures, RLS, TMDL, PBIP versioning
Dashboard Delivery
Power BI, Tableau, Spotfire, Geospatial — multi-platform
Governance & CI/CD
RLS, Git/PBIP, deployment pipelines, workspace policies
AI-Powered BI Ecosystem — Final Outcome
Copilot narration, MCP natural language queries, automated DAX generation, insight summarization — 20% efficiency ↑, 30% faster processing, 25% less manual work.