Data Engineer Resume Sample

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Data Engineer Resume Sample (Full Text Version)

Thomas Lee Holkain

Nationality: Chinese
Email address:
Phone number: 999-999-999


09/2011 - 06/2014, Master in Electrical and Computer Engineering, Electrical and Computer Engineering program, Carnegie Mellon University, Pennsylvania, United States
  • with a focus on data engineering and analytics
  • GPA 3.8 (top 10% of the Programe)
09/2008 - 06/2011, Bachelor of Applied Science in Software Engineering with a specialization in Data Engineering, University of Waterloo, Waterloo, Canada
  • Graduated with Distinction (Grade 1- A/ Excellent  equivalent in all 5 subjects)
  • Activities: Data Engineering Club, Coursework Society, Economics Society, Golf Club

Work Experience

12/2020 - present, Data Engineer, Google, California, united states
  • Developed and implemented a scalable data pipeline that reduced processing time by 65% resulting in significant cost savings for the company.
  • Designed and maintained a data warehousing solution that enabled efficient data analysis and reporting, leading to better business insights and informed decision-making.
02/2015 - 09/2020, Data Engineer, Microsoft, new york, united states
  • Streamlined data acquisition and integration from multiple sources, improving data accuracy and completeness by 35%.
  • Collaborated closely with cross-functional teams to identify and resolve data quality issues, ensuring data integrity and consistency throughout the organization.
08/2014 - 03/2015, Intership in Data Engineering, Microsoft, new York, United states
  • Conducted data analysis and visualization to identify trends and patterns, providing valuable insights for decision-making.
  • Maintained and optimized databases, ensuring data integrity and availability for the organization.


2014, Data Open Championship, Citadel and Citadel Securities


Google BigQuery


Artificial Intelligence
Position Overview:

A Data Engineer is a skilled professional who specializes in designing, building, and maintaining data infrastructure and systems. They are responsible for developing and implementing data pipelines, data warehouses, and data integration solutions. Data Engineers work closely with data scientists and analysts to ensure data quality, availability, and reliability. They have expertise in programming languages, databases, and data processing frameworks. By managing large volumes of data efficiently, Data Engineers enable organizations to make informed decisions and derive meaningful insights from their data assets.

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