Evan Wright
Data Integration Engineer
Charlotte, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolEvan Wright is a Data Integration Engineer based in Charlotte with 14 years of experience building real-time, event-driven data pipelines and integrations. He specializes in Apache Kafka and Confluent Kafka—managing clusters, CDC workflows, and stream processing with kSQL and Flink—to turn messy operational events into business-ready data. Equally comfortable on the integration layer, he uses MuleSoft to connect internal systems and third-party services, improving accessibility and operational efficiency. His career path from data analyst and systems support to business systems analyst and now integration engineer gives him a pragmatic, end-to-end perspective on data quality, user needs, and deployment challenges. Evan has contributed bug fixes and enhancements to the widely used pandas project, demonstrating hands-on data-manipulation expertise beyond his day job. He combines a business-adjacent Computer Information Systems degree with practical coding and SQL chops to bridge technical and organizational priorities.
14 years of coding experience
1 year of employment as a software developer
Bachelor's of Science in Business Administration, Computer Information Systems, minor in Computer Science, Bachelor's of Science in Business Administration, Computer Information Systems, minor in Computer Science at Appalachian State University
Stackoverflow
680reputation
114kreached
13answers
0questions
Github Skills (12)
pandas10
python10
data-science10
data-analysis10
numpy9
json6
iteration6
row6
csv6
dictionary6
groupby6
dataframe6
Programming languages (2)
Github contributions (5)
pandas-dev/pandas
Mar 2015 - Jul 2016
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Data ScientistContributions:29 commits, 35 PRs, 93 comments in 1 year 3 months
Contributions summary:Evan primarily contributed to bug fixes and enhancements within the pandas library, focusing on data manipulation and analysis functionalities. They addressed issues related to incorrect results in the `where` function for datetime and timedelta data, improved the handling of empty ranges in `loc` operations, and corrected `drop_duplicates` behavior. They also worked on allowing conversions of datetime64 and timedelta64 to strings within the astype function, along with other minor fixes.
pythondatalabeled-datamanipulationdataframes
evanpw/mycraft
Apr 2013 - Jan 2015
Contributions:68 commits, 7 pushes, 3 branches in 1 year 9 months
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