Building lakehouse architecture, pipeline governance, and global/enterprise models on Microsoft Fabric.
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
Designed, built, and orchestrated production ETL/ELT pipelines on Microsoft Fabric using PySpark, Spark SQL, Fabric Data Pipelines, and Dataflow Gen2 — transforming raw data from SQL sources, SharePoint files, APIs, and Azure Blob Storage into analytics-ready datasets.
Standardized a medallion lakehouse architecture (bronze/silver/gold) on OneLake in Delta Lake format as a reusable template for structured ingestion, transformation, and serving — supporting reporting, ad hoc analytics, and downstream analytical workloads.
Delivered the Cost Management data model unifying dental, pharmacy, and medical claims into a single 246M+ row fact table across 32 conformed dimensions; chose single-fact design over three separate models to enable cross-domain analysis and simplify downstream logic. Delivered the Dental Claims data model (24.6M+ row fact, 11 dimensions) end-to-end from requirements through deployment.
Designed a cross-platform write-back architecture (in flight) — Power App → Dataverse mirrored into Snowflake for the write path, with a DirectQuery model in Fabric over Snowflake-built fact and dimensions for the read path — chosen so the reporting layer stays independent of the entry layer and neither has to be rebuilt as the enterprise platform direction shifts.
Managed CI/CD promotion of notebooks, pipelines, and models across dev/test/prod workspaces using Microsoft Fabric Deployment Pipelines with Git-based version control and peer code review; applied data governance including object-level security, workspace/item-level permissions, and Fabric lineage view for impact analysis.
Defined and drove team adoption of Fabric artifact naming conventions and Best Practice Analyzer evaluation of semantic models; contributed to broader team standards for ingestion, transformation, and modeling; applied upstream-first principles and documented, hierarchy-aware measure design to reduce downstream complexity and support self-service consumption.
Business Intelligence Engineer III
Contributed to enterprise migration of legacy Cognos reporting to Power BI; built and standardized components of global semantic models — business definitions, reusable measures, and tabular modeling patterns — that supported enterprise self-service reporting.
Built dataflows and transformation logic to integrate data from multiple source systems, applying transformations closer to source for improved performance and maintainability.
Standardized business terminology across sources to enable cross-report drill-through; authored DAX measures and field-level descriptions for downstream developer consumption.
Business Data Analyst
Developed automation scripts to validate database upgrades and ensure data integrity during migrations; created and maintained client-facing reports leveraging SQL-based data sources.
Performed root cause analysis and troubleshooting of data and application issues across enterprise systems; supported testing and validation of programming changes prior to production.
Business Analyst
Partnered with business stakeholders and developers across the full lifecycle — requirements gathering, UAT, and translation of business needs into technical specifications for data-driven application enhancements; supported testing and validation prior to production release.
Consultant
Developed and maintained MVC ASP.NET / C# tools for program creation, workflow, and financial forecasting; maintained TIBCO Spotfire reporting; performed QA with full regression and conducted daily scrum using CA Agile Central.
Data Analyst II
Wrote ad hoc SQL queries supporting compliance, legal, and operations teams; performed data validation, cleansing, and root cause analysis on compliance and complaint datasets.
Developed and maintained SSRS reports, including automated subscription-based delivery for Non-Mortgage collections and Commercial Portfolio; managed recurring monthly, quarterly, and annual compliance and legal reporting.
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