Data engineer specializing in lakehouse architecture, pipeline governance, and analytics-ready data on Microsoft Fabric.
Data Engineering & Pipelines
ETL / ELT pipeline design and orchestration (PySpark, SQL)
Scalable lakehouse architectures & Medallion Architecture (Bronze / Silver / Gold)
Dimensional & tabular data modeling
Microsoft Fabric: OneLake, Lakehouse, SQL Endpoints, Fabric Data Pipelines, Fabric Notebooks, Delta Lake
Data orchestration and workflow automation
Cloud platforms: Azure, Azure Data Lake Storage
Analytics & BI (Supporting)
Data analysis, modeling, and reporting (DAX, Power Query / M)
BI tooling: DAX Studio, Tabular Editor, SSRS / Paginated Reporting
Analytics Engineer (Data Engineering Focus)
Tech Stack: PySpark, SQL Server, Microsoft Fabric (Lakehouse, Data Pipelines, Notebooks), Power BI
Designed, built, and owned production ETL/ELT pipelines transforming raw data into analytics-ready datasets using PySpark and Microsoft Fabric, including healthcare claims, eligibility, and member data.
Developed a scalable Lakehouse architecture using the medallion (bronze/silver/gold) pattern on OneLake for structured ingestion and transformation.
Built and optimized dimensional and tabular data models to support enterprise reporting, ad hoc analysis, and data science workflows.
Orchestrated end-to-end data workflows leveraging Fabric Data Pipelines and Notebooks (PySpark).
Partnered with data scientists, analysts, and business stakeholders to translate data requirements into production-grade data solutions.
Authored and maintained technical documentation, data dictionaries, and pipeline runbooks for operational excellence and knowledge sharing.
Led code reviews, mentored junior engineers, and promoted best practices in SQL development, data modeling, and version-controlled workflows.
Supported self-service analytics by delivering standardized datasets and training stakeholders on data models and reporting best practices.
Business Intelligence Engineer III
Tech Stack: Power BI, Power Query, SQL Server, DAX, Dataflows
Designed and maintained shared semantic and tabular data models to support standardized enterprise reporting.
Built dataflows and transformation logic to prepare and integrate data from multiple source systems.
Implemented best practices for global semantic models, including standardized business definitions and reusable measures.
Collaborated with engineering and business teams to apply transformations closer to data sources, improving performance and maintainability.
Led migration of legacy Cognos reports to Power BI, modernizing reporting architecture.
Optimized models for scalability, supportability, and performance across large datasets.
Business Data Analyst
Performed root cause analysis and troubleshooting of data and application issues across enterprise systems.
Developed automation scripts to validate database upgrades and ensure data integrity during migrations.
Created and maintained client-facing reports leveraging SQL-based data sources.
Business Analyst
Partnered with business stakeholders and developers to gather requirements and deliver data-driven application enhancements.
Supported testing and validation of new functionality prior to production release.
Consultant
Developed and maintained ASP.NET / C# applications supporting workflow and financial forecasting tools.
Collaborated with developers and stakeholders to translate business requirements into technical solutions.
Data Analyst II
Wrote ad hoc SQL queries to support compliance, legal, and operations teams in a regulated financial environment.
Supported recurring regulatory and legal reporting through standardized datasets.
Microsoft Certified
Fabric Analytics Engineer Associate (DP-600)
Power BI Data Analyst Associate (PL-300)
Azure Data Fundamentals (DP-900)
DP-700: Fabric Data Engineer Associate (In Progress)
2016 Greenville Technical College, Greenville, South Carolina
A.S. in Computer Programming
2003 University Of South Carolina, Spartanburg, South Carolina
B.S. Business Administration