About
Analytics Engineer with 3+ years of experience building automated data pipelines, analytics-ready datasets, KPI frameworks, and self-service reporting. I specialize in turning complex operational data and ambiguous business questions into reliable metrics, reusable data products, and reporting that helps teams make decisions with confidence.
Based in: Virginia Beach, VA ยท Work authorization: U.S. Citizen
Experience
Data Analyst | Analytics Engineering
| Dollar Tree
April 2025 - Present | Chesapeake, VA
- Design and maintain analytics pipelines across IBM i/DB2, SQL Server, BigQuery, and Alteryx, transforming complex operational data into trusted datasets supporting enterprise Supply Chain reporting and executive decision-making.
- Rebuilt the enterprise DC Scorecard data model and scoring framework to calculate period-based KPIs, standardized performance ratings, outlier handling, and performance targets across the distribution network.
- Build analytics datasets and reporting solutions in Power BI and Tableau for distribution center KPIs including trailer dwell time, yard and reserve capacity, cases per hour, OSHA performance, fill rate, shrink, and employee turnover.
- Re-architected the Supply Chain Tableau portal using platform usage analytics to prioritize high-value dashboards, identify low-use content, and improve discoverability of self-service reporting for hundreds of users.
- Build scalable Alteryx workflows processing multi-million-row datasets and reusable extraction patterns, including chunked BigQuery processing designed to overcome API result limitations.
- Automate production monitoring and reporting processes using REST APIs, PowerShell, SQL, and scheduled workflows, reducing manual troubleshooting and improving reliability of business-critical analytics.
- Partner with Supply Chain leadership and operational teams to translate loosely defined business questions into standardized metrics, reusable data products, and executive-ready reporting.
Data Analyst | Quality Analytics
| Cruise
January 2023 - December 2024 | San Francisco, CA
- Built automated Python and SQL workflows to streamline recurring data preparation, validation, and reporting processes.
- Developed reusable SQL transformations using CTEs, window functions, complex joins, and validation logic to produce reliable analytics-ready datasets.
- Created Looker and Looker Studio dashboards and reporting datasets to operationalize quality and performance metrics.
- Conducted root-cause analysis on data discrepancies and partnered with engineering, data science, and operations teams to improve data quality and metric reliability.
Data Science Intern
| Jefferson Science Associates
July 2019 - December 2022
- Migrated research data from Excel into Microsoft Access using SQL, improving data organization and consistency for recurring analysis.
- Developed SQL scripts to improve data storage and retrieval and support reporting requirements.
- Automated recurring data-processing and reporting tasks to reduce manual effort.
- Created Excel and Power BI reports to improve visibility into research metrics.
Skills
- Data & Analytics: SQL, Python, data modeling, ETL/ELT, metric design, KPI development, data quality validation
- Platforms & Databases: BigQuery, SQL Server, IBM i / DB2, PostgreSQL, Alteryx
- BI & Reporting: Power BI, DAX, Tableau, Looker, Looker Studio, Excel
- Automation & Integration: REST APIs, PowerShell, VBA, workflow automation
- Additional Technologies: Git/GitHub, AWS, HTML/CSS, JavaScript
Projects
ETL Pipeline for Reddit Data
| Personal Learning Project
- Designed and deployed an end-to-end ETL pipeline extracting data from the Reddit API, transforming it with Python and AWS Glue, and loading it into Amazon S3 for querying with AWS Athena.
- Configured a local development environment with Docker, Apache Airflow, Redis, and PostgreSQL to support data ingestion and orchestration.
- Worked with API rate limits, data transformations, and cloud storage patterns while expanding hands-on data engineering experience.
Resume Website
| Personal Project
- Built and maintain a responsive professional portfolio using Python, Flask, HTML, CSS, JavaScript, and Bootstrap.
- Deployed the site on Render and configured custom-domain DNS through Namecheap.
- Integrated analytics tracking to monitor visitor engagement and support ongoing site improvements.
Education & Certifications
Bachelor of Science in Computer Science
| Old Dominion University
December 2022 | Norfolk, VA
Salesforce Certified Tableau Desktop Foundations
| Salesforce
Issued April 2026 | Credential ID 7726507
Foundational Experience
Early career roles that strengthened accuracy, troubleshooting, customer communication, and problem-solving.
View Earlier Experience
Bank Teller
| BB&T (Now Truist)
July 2018 - July 2019
- Processed high-volume customer transactions with consistent accuracy, balanced cash daily, and resolved discrepancies using documented procedures.
- Followed strict compliance and privacy requirements while handling sensitive financial information.
- Strengthened customer-facing communication by explaining options clearly and resolving issues efficiently under time constraints.
Product Specialist
| Apple
October 2017 - July 2018
- Consulted with customers to understand needs and recommend solutions, explaining technical tradeoffs in a clear and approachable way.
- Supported operational accuracy in a high-traffic environment involving transactions, device setup, and issue escalation.
- Partnered with team members to troubleshoot common device and account issues and guide customers toward the right resolution.
Interests & Causes
- Inclusive teams and equitable systems; support civil rights, LGBTQIA+ rights, and social equity.
- Animal welfare and rescue advocacy.
- Continuous learning in data engineering, AI, and emerging technologies.
- Strategy games and puzzle-solving.
- Reading across fiction and nonfiction for creative and analytical growth.
- Travel and cultural exploration.
Contact Me
Interested in discussing analytics engineering, data analytics, or related opportunities? Send me a message below or schedule a conversation.