Entry Level Data Engineer Resume 1
ENTRY-LEVEL DATA ENGINEER
Entry-Level Data Engineer | SQL | Data Analysis
name@email.com
linkedin.com
New York City, New York
Summary
Data-driven problem solver with a 1-year internship at Amazon, skilled in SQL, Python, and churn prediction models. Eager to apply my expertise to complex data challenges and drive business growth.
Experience
Data Engineer Intern
Amazon
2022 – Ongoing
- Data Pipeline Enhancement: Spearheaded the enhancement of data pipelines, resulting in a 20% reduction in processing time. Implemented efficient ETL processes, significantly improving data accuracy and reliability.
- Data Quality Improvement: Led a data quality initiative, identifying and resolving anomalies in the database, resulting in a 15% increase in overall data accuracy. Instituted automated data validation checks, minimizing errors in incoming datasets.
- Scalability Implementation: Contributed to the design and implementation of scalable data infrastructure, accommodating a 30% increase in data volume. This resulted in enhanced system performance and responsiveness to evolving business needs.
- Troubleshooting and Optimization: Proactively identified and resolved data pipeline bottlenecks, reducing system downtime by 25%. Implemented performance monitoring tools, resulting in a 15% improvement in overall system efficiency.
- Collaboration and Documentation: Collaborated with cross-functional teams to gather data requirements and ensure alignment with business objectives. Developed comprehensive documentation for data processes, facilitating knowledge transfer and onboarding of new team members.
Data Engineer Intern
Netflix
2020 – 2021
New York City, New York
- Developed a machine learning model to predict customer churn. The model improved the accuracy of churn predictions by 2%, resulting in a $200,000 decrease in customer churn.
- Migrated Netflix’s data warehouse to a cloud-based platform. The migration reduced the cost of data storage by 20% and improved the performance of data queries by 5%.
- Built a data visualization dashboard to track the performance of Netflix’s marketing campaigns. The dashboard helped Netflix’s marketing team to optimize their campaigns and improve their return on investment.
Education
Bachelor’s in Computer Science & Data Analytics
University of California, Berkeley
2016 – 2020
California
Strengths
Effective team player
Managed a team of 5 in data processing project, improving overall efficiency
Strong analytical skills
Successfully validated datasets ensuring 95% accuracy rate in data processing system
Skills
- Data Management
- SQL
- Java
- Python
- Apache Hadoop
- ETL
- Data Mining
- Data Analysis
Certification
Big Data Analytics Certification
Learned key big data algorithms with Coursera
SQL for Data Analysis
Advanced data manipulation and analytics with SQL from DataCamp
Volunteering
Volunteer Data Analyst
American Red Cross
2018 – 2019
Provided data analysis to enhance operational efficiency and impact
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