Python Data Engineer Resume 1
PYTHON DATA ENGINEER
Python Data Engineer | SQL | Spark | Hadoop
name@email.com
linkedin.com
Dallas, TX
Summary
Python Data Engineer with 8+ years of experience in the tech industry. Proven track record of designing, developing, and deploying Python data solutions that improve business performance. Expertise in Python data engineering, data warehousing, data lakes, data analytics, and machine learning. Strong problem-solving and analytical skills. Passionate about using data to make a positive impact on the world.
Experience
Python Data Engineer
Adobe
2020 – Ongoing
Dallas, TX
- Designed and implemented a Python data pipeline that reduced data processing time by 50% and improved data quality.
- Led a team of Python data engineers in the development of a new data visualization tool that increased the use of data-driven decision making.
- Developed a new Python machine learning model that increased the accuracy of fraud detection by 15%.
- Presented Python data engineering best practices at several industry conferences, reaching an audience of over 1,000 data professionals.
- Mentored and trained junior Python data engineers, helping them to develop their skills and knowledge.
Data Analyst
Glassdoor
2017 – 2020
Analyzed complex data sets to support operational, financial, and technical decisions.
- Created SQL queries to extract customer behavior data, contributing to a 15% increase in sales.
- Performed data analysis, deriving insights that resulted in $2 million in cost savings over two years.
- Collaborated on the development of big data solutions, resulting in more efficient data processing and management.
Data Engineer
CNBC
2015 – 2017
Dallas, TX
- Developed and deployed data warehousing and analytics systems resulting in improved business intelligence for clients
- Collaborated with other architects and technical consultants resulting in successful implementation of solutions for multiple clients
- Familiarized with CI/CD concepts resulting in improved efficiency in software development processes
Strengths
Excellent Coding Skills
Designed and wrote fully tested code for ETL/ELT data pipelines and BI models.
Problem solver
Implemented an optimized data pipeline at IBM, reducing data processing times by 20%.
Skills
- Python
- Hadoop
- Spark
- Scala
- Java
- SQL
- LookML
- Looker
- Data Analysis
- Product Development
Education
Master’s Degree in Data Science
University of Chicago
2013 – 2015
Bachelor’s Degree in Computer Science
Texas A&M University
2009 – 2013
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