Education
Bachelor of Science in Computer Science
| Old Dominion University
Skills
- Programming Languages: Python, SQL, C++, Java, JavaScript, HTML, CSS, Bash/Shell Scripting
- Data Engineering Tools: BigQuery, Looker, Apache Airflow, Apache Spark
- Databases: PostgreSQL, MySQL, MongoDB, DynamoDB
- Cloud Platforms: AWS (S3, Lambda, Glue, Redshift), GCP (BigQuery, Dataflow)
- DevOps: Git, GitHub, CI/CD Pipelines, Docker, Kubernetes
- Data Visualization: Looker Studio, Tableau, Power BI, Excel
Experience
Data Engineer
| Cruise
January 2023 - December 2024
- Architected and maintained high-performance ETL pipelines using Python, SQL, and BigQuery, processing multi-terabyte datasets and reducing query execution times by 50%.
- Designed and implemented real-time dashboards in Looker Studio, reducing reporting time by 60% and providing stakeholders with actionable insights for AV system performance.
- Developed complex SQL transformations leveraging window functions, CTEs, and optimization techniques to establish data validation framework.
- Conducted root cause analysis on data inconsistencies, implementing validation frameworks that reduced system errors by 25% and improved pipeline reliability.
- Partnered with cross-functional teams (engineering, data science, and operations) to streamline data workflows, enhancing data accuracy, availability, and overall AV safety metrics.
- 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, ensuring 100% 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.
Banking Operations Analyst
| BB&T (Now Truist)
July 2018 - July 2019
- Analyzed financial transaction data using SQL, identifying anomalies and ensuring regulatory compliance with banking standards.
- Developed automated reports that improved operational oversight, reducing manual processing errors by 20%.
- Collaborated with risk management teams to enhance fraud detection processes, leading to improved security measures.
- Provided data-driven insights to support audits, increasing reporting efficiency and compliance adherence.
Data Insights Analyst / Technical Support Specialist
| Apple
October 2017 - July 2018
- Analyzed and optimized sales data to identify trends, increasing product conversion rates and enhancing customer engagement.
- Developed data-driven insights for business strategies, leading to improved decision-making across sales and support teams.
- Provided technical support and troubleshooting for Apple customers, resolving complex technical issues efficiently.
- Automated reporting processes to track key performance indicators, reducing manual effort and improving operational oversight.
- Analyzed sales data to identify trends, optimizing customer experience and product conversion rates.
- Delivered technical solutions and data insights to improve workflow efficiency and customer satisfaction.
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
- Committed to fostering diversity, equity, and inclusion, actively supporting movements that advocate for racial justice, LGBTQIA+ rights, and social equity in both professional and personal spaces.
- Advocate for animal welfare, supporting rescue organizations and ethical treatment initiatives.
- Deeply invested in continuous learning, particularly in data engineering, AI, and emerging technologies. Always exploring new advancements in the field.
- Enjoys solving complex puzzles, both in programming and strategy-based board games.
- Avid reader, constantly exploring new ideas and perspectives through literature.
- Enthusiastic about traveling and experiencing new cultures, broadening perspectives through global exploration.
Eligibility
U.S. Citizen
Contact Me
Meet With Me
