Building lakehouse architecture, pipeline governance, and global/enterprise models on Microsoft Fabric.
Languages & Databases:
SQL (including T-SQL), PySpark, Spark SQL, Python, PowerShell, DAX, Power Query (M); Snowflake, SQL Server, Azure Synapse, Delta Lake
Cloud & Data Platforms:
Microsoft Fabric (OneLake, Lakehouse, SQL Endpoints, Warehouse, Notebooks, Data Pipelines), Delta Lake, Azure Blob Storage; familiar with Azure Data Factory, SSIS
Pipelines & Orchestration:
ETL/ELT pipeline design (PySpark, Spark SQL), Fabric Data Pipelines, Dataflow Gen2, medallion architecture (bronze/silver/gold), incremental processing; ingestion from SQL sources, SharePoint files, APIs, and Azure Blob Storage
Data Modeling:
Dimensional and tabular modeling; star schema with conformed dimensions; conceptual/logical/physical modeling; large-scale fact table design (246M+ rows); global/enterprise semantic models with standardized business definitions and reusable measures
Governance & DevOps:
Git (branching, PRs, code review), Fabric Deployment Pipelines (CI/CD across dev/test/prod), object-level security (OLS), workspace/item-level permissions, lineage-based impact analysis, Best Practice Analyzer (BPA) evaluation
BI & Semantic Layer:
Power BI, Tabular Editor, DAX Studio, TMDL, SSRS / SQL Report Builder
Analytics Engineer
Business Intelligence Engineer III
Business Analyst
Consultant
Data Analyst II
Microsoft Certified
Fabric Data Engineer Associate (DP-700)
Fabric Analytics Engineer Associate (DP-600)
Power BI Data Analyst Associate (PL-300)
Azure Data Fundamentals (DP-900)
2016 Greenville Technical College, Greenville, South Carolina
A.S. in Computer Programming
2003 University Of South Carolina, Spartanburg, South Carolina
B.S. Business Administration