I combine advanced SQL, business intelligence, data modeling, automation, and operational expertise to investigate difficult problems, build reliable analytical solutions, and turn findings into action.
These case studies describe real professional work at a high level while protecting proprietary information. Public technical demonstrations use synthetic data created specifically for this portfolio.
An end-to-end analytical solution that created visibility into where package-processing failures occurred, why they happened, and where corrective action could have the greatest impact.
Turning complex application logs into standardized reason categories by extracting identifiers, recognizing recurring patterns, and validating findings against real business processes.
Supporting migration from legacy SQL Server reporting toward a data-lake environment through documentation, lineage, source-to-target validation, data dictionaries, and output testing.
My strongest work happens where business processes, data quality, analytics, and technical implementation meet.
Advanced SQL, KPI development, exploratory analysis, root cause analysis, segmentation, financial impact analysis.
Power BI, Tableau, dashboards, executive reporting, data visualization, reusable reporting logic.
SQL Server, SSIS, SQL Server Agent, ETL, Databricks, Synapse, data warehousing, data lakes.
Data validation, quality checks, lineage, data dictionaries, process mapping, source-to-target validation.
Reporting automation, Microsoft Copilot, Databricks Genie Code, AI-assisted research and SQL optimization.
Product, Finance, IT, Customer Service, Operations, consultants, USPS, requirements and stakeholder communication.
These labs will document hands-on learning separately from professional experience so the distinction is always clear.
A synthetic business dataset modeled through a modern warehouse and transformation workflow, with testing and documentation.
A Python-based application that lets users explore synthetic operational data, investigate exceptions, and view analytical results.
A public dashboard built entirely from synthetic data to demonstrate KPI design, drill-down analysis, business storytelling, and dashboard usability.
I am open to senior analytics opportunities and flexible contract work involving SQL, BI, reporting automation, data quality, operational analytics, and business problem solving.