Ian Meyers
England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolIan Meyers is a seasoned technology leader with 20+ years of experience and over a decade focused on databases, analytics, stream processing and high-performance computing. He has led product and engineering teams at AWS—shaping developer experiences for open-source analytics tools like Athena, EMR consoles, notebooks and profilers—and most recently runs Performance Software & Data Science at McLaren F1. Ian combines hands-on engineering (Java, Python, SQL) and operational ownership with customer-facing architecture work for the world’s largest enterprises, driving performance-focused initiatives for data lakes and Redshift tooling. A pragmatic open-source contributor, his commits to AWS big-data samples and Redshift loader projects show deep expertise in distributed data processing and production-grade ETL. Based in the Surrey Hills, he pairs cloud-native systems leadership with a personal passion for cycling on road and trail.
11 years of coding experience
15 years of employment as a software developer
Bachelors of Science, Computer Information Systems, Bachelors of Science, Computer Information Systems at Colorado State University
Github Skills (19)
aws-redshift10
hadoop-mapreduce10
javascript10
postgresql10
key-management10
keyman10
aws-lambda10
mapreduce10
database-administration10
hadoop10
amazon-redshift10
aws10
sql10
data-processing10
aws-s310
Programming languages (8)
Github contributions (5)
awslabs/amazon-redshift-utils
Dec 2014 - Dec 2022
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:519 commits, 242 PRs, 429 pushes in 8 years 2 months
Contributions summary:Ian primarily contributed to the development and maintenance of tools related to the Amazon Redshift database. They were responsible for implementing features that optimize Redshift column encodings, creating schema analysis tools, and integrating support for KMS encryption. Furthermore, the user added and improved the SQL scripts for providing performance insight into the database. They also worked on the system table persistence utility, including the integration with S3 for backup and load.
redshiftamazonutilsamazon-redshiftaws
aws-samples/aws-big-data-blog
Dec 2014 - Apr 2017
Role in this project:Back-end Developer
Back-end DeveloperContributions:20 commits, 6 PRs, 9 pushes in 2 years 3 months
Contributions summary:Ian primarily contributed to a Node.js application on an EMR environment. The commits demonstrate the development of mapper and reducer scripts, along with a shell script for installing Node.js and npm. Further work included reorganizing code, standardizing events between mapper and reducer, and updating samples, indicating a focus on data processing and distributed computing within the Hadoop ecosystem.
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