Data Nerd
Analytics Engineer | Data Visualization Builder
Darrell Wolfe
I build SQL-first reporting systems, reusable transformation layers, and offline-friendly analytics tools that turn messy operational work into reliable decision-support workflows.
Professional Summary
I am an analytics-focused systems builder pivoting deeper into analytics engineering and data visualization roles. My strongest work sits at the intersection of SQL Server, data modeling, operational reporting, and workflow automation, especially when the job is to turn a messy legacy process into a reliable dataset, a reusable transformation layer, or a dashboard that non-technical teams can actually use.
Core Strengths
SQL Server + Reporting Logic
Strong in SQL Server querying, transformation logic, and performance-minded reporting design.
Analytics Data Modeling
Build semantic and reporting layers for Power BI, Tableau, Excel, and custom dashboards.
Workflow Automation
Use Python, Power Query, and configuration-driven pipelines to make recurring work repeatable.
Requirements Translation
Translate business questions between technical systems and non-technical stakeholders.
Operational Reporting
Focus on data quality review, documentation, and practical outputs teams can trust.
Offline-First Visualization
Design on-prem and offline-friendly analytics experiences for real-world business environments.
Recent Projects
DataDevToolkit
Automation Platform
- Modular Python automation platform used to orchestrate internal data workflows and reporting processes.
- Centralized logging, configuration management, and execution for SQL-driven analytics tasks.
- Shared core utilities, revision tracking, and reusable workflow patterns to help automation scale across a team.
DataViz - Offline Analytics Platform
Custom Data Visualization
- Built an offline-first geospatial analytics dashboard combining SQL Server datasets, Excel inputs, and parcel geometry.
- Generates maps, tables, and graph views through automated data-preparation pipelines.
Current Work
Business Intelligence Analyst / Data Visualization
Kootenai County Assessor’s Office
- Design SQL data models and reporting datasets for operational, valuation, and workflow analysis across county systems.
- Rebuilt paper-heavy and Excel-heavy processes into repeatable pipelines using SQL Server, Power Query, Excel, and Python automation.
- Reduced a sustained 70-hour-per-week reporting workload to a standard workweek by redesigning manual reporting and delivery processes.
- Create transformation layers and curated outputs that feed Power BI, Tableau, Excel models, and custom on-prem dashboards.
- Built offline-first geospatial analytics views that join parcel geometry with operational metrics so staff can explore data without depending on a server-first experience.
- Develop internal tooling that standardizes logging, configuration, and execution for automation workflows used by the data team.
Previous Experience
Fraud Analyst
Bread Financial
Technical Writer & Complaints Analyst
Wells Fargo
Skills Summary
Data and BI: SQL Server, Power BI, Tableau, Excel, Power Query, DAX, data modeling, and ETL-style transformations.
Development: Python automation, GitHub, VS Code, RStudio, documentation, and configuration-driven workflow design.
Career Focus: Analytics engineering, data visualization engineering, semantic and reporting layer design, and decision-support systems.
Education and Credentials
- B.A. in General Christian Studies, The King’s University
- Google Data Analytics Professional Certificate, Coursera
- Certified Property Tax Appraiser, Idaho Tax Commission