Education
Bachelor of Science in Computer Science
| Old Dominion University
December 2022
Skills
- Languages: SQL, Python, JavaScript, Bash/Shell, HTML/CSS, Java, C++
- Analytics stack: BigQuery, Looker/Looker Studio, Tableau, Power BI, Excel
- Data pipelines: Airflow, Dataflow, Spark, Docker, Google Apps Script
- Databases: PostgreSQL, MySQL, MongoDB, DynamoDB
- Cloud: AWS (S3, Lambda, Glue, Redshift), GCP
- Engineering: Git/GitHub, CI/CD, Kubernetes
- Formats: JSON, XML, YAML, CSV
Experience
Data Analytics Engineer
| Dollar Tree
April 2025 - Present
- Promoted within six months based on delivery velocity, stakeholder trust, and the ability to take ambiguous reporting needs from request to production-quality output.
- Leading a supply chain reporting foundation effort to map enterprise data sources to dashboards and reports, documenting lineage and metric definitions to improve consistency across teams.
- Building analytics-ready datasets by integrating and validating data across AS400, SQL Server, and BigQuery, strengthening KPI integrity and reducing reconciliation churn.
- Redesigning and scaling self-serve Tableau and Power BI experiences, improving discoverability of core KPIs and enabling faster, more confident decision-making for business users.
- Developing and optimizing Alteryx workflows to automate recurring reporting and data preparation, improving reliability and freeing up analyst time for deeper analysis.
- Continuously solving high-ambiguity problems quickly by diagnosing data issues at the source, aligning stakeholders on metric definitions, and documenting solutions to make them repeatable.
Data Analyst
| Cruise
January 2023 - December 2024
- Architected and maintained ETL pipelines using Python and SQL across BigQuery, improving data availability and reducing manual reporting overhead.
- Designed stakeholder dashboards in Looker Studio to surface operational and quality signals and shorten reporting cycles for AV system performance.
- Built reusable SQL transformations (CTEs, window functions) and validation checks to improve metric reliability and reduce downstream discrepancies.
- Conducted root cause analysis on data inconsistencies, implementing a validation framework that reduced system errors by 25% and improved pipeline reliability.
- Partnered with engineering, data science, and operations to define measurement, triage issues, and improve data quality.
- Utilized CI/CD automation for deploying and monitoring pipelines, increasing operational efficiency and reducing deployment risks.
Data Science Intern
| Jefferson Science Associates
July 2019 - December 2022
- Engineered SQL-based data migration from Excel to Microsoft Access, improving query performance by 50% and ensuring data consistency.
- Developed custom SQL scripts to optimize data storage and retrieval, supporting compliance with reporting standards.
- Automated data processing workflows, reducing manual report generation time by 35% and supporting real-time decision-making.
- Created data visualization reports in Excel and Power BI, improving insights into research metrics and enhancing efficiency in data interpretation.
Foundational Experience
Early career roles that built accuracy, troubleshooting, and communication.
Bank Teller
| BB&T (Now Truist)
July 2018 - July 2019
- Processed high-volume customer transactions with consistent accuracy; balanced cash drawer daily and resolved discrepancies using documented procedures.
- Followed strict compliance and privacy requirements while handling sensitive financial information.
- Strengthened customer-facing communication skills 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, approachable way.
- Supported operational accuracy in a high-traffic environment (transactions, device setup, issue escalation) while maintaining attention to detail.
- Partnered with team members to troubleshoot common device and account issues and guide customers to the right resolution path.
Projects
ETL Pipeline for Reddit Data
| Personal Learning Project
reddit-data-engineering GitHub Repo
- Designed and deployed an end-to-end ETL pipeline extracting data from Reddit API, transforming it with Python & AWS Glue, and loading it into AWS S3 for querying with AWS Athena.
- Configured a local development environment with Docker, Apache Airflow, Redis, and PostgreSQL to streamline data ingestion and orchestration.
- Applied best practices for big data workflows, handling API rate limits, optimizing transformations, and ensuring efficient storage in AWS.
- The purpose of this project was to sharpen my skills and explore new tools in data engineering.
Resume Website
| Personal Project
- Developed a professional resume website to showcase projects, technical skills, and work experience in an interactive format.
- Built using Python, HTML, CSS, and JavaScript, creating a responsive and visually appealing design.
- Deployed on Render, utilizing cloud-based hosting for reliability and fast load times.
- Integrated analytics tracking to monitor visitor engagement and optimize user experience.
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.
Eligibility
U.S. Citizen
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