Meiran Zhiyenbayev
Lecturer at Al-Farabi Kazakh National University
Almaty, Kazakhstan
Summary
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Rockstar🎓
Top SchoolMeiran Zhiyenbayev is a Senior Data and DevOps engineer with a decade of experience building ETL pipelines, cloud infrastructure, and analytics solutions across banking and enterprise environments. He combines deep hands-on expertise in Oracle/PostgreSQL, Airflow/Prefect, and ETL tools like Pentaho and Informatica with multi-cloud automation on AWS, GCP, Azure and edge providers. As a former senior EDW developer and data engineering manager, he has led delivery of scalable data platforms and reusable frameworks that accelerate analytics adoption. Meiran also contributes to open-source data platforms and curates core datasets on GitHub, reflecting his role as a data evangelist who bridges community tooling and production needs. Now lecturing at Al-Farabi Kazakh National University and pursuing a PhD in intelligent control systems, he mixes applied industry experience with academic depth and a knack for turning complex requirements into teachable, production-ready solutions.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Computer Information Systems, 3.71, Master’s Degree, Computer Information Systems, 3.71 at Boston University - Metropolitan CollegeHigh School, High School at Physical and mathematical grammar school for exceptional children #173Doctor of Philosophy - PhD, Intelligent control systems, Doctor of Philosophy - PhD, Intelligent control systems at Al-Farabi Kazakh National UniversityEnglish Language Program, English Language Program at University of Pennsylvania
Kazakh, Russian, English, Turkish
Github Skills (168)
dialing10
python10
metadata10
data-management10
vix10
data-gov10
publish10
iso10
currency-converter10
commons10
catalog10
itil10
dms10
reserve10
bonds10
Programming languages (10)
Github contributions (5)
datasets/population-city
May 2017 - Mar 2018
City population yearly timeseries for female and male, and for both sexes, collected by the United Nations Statistics Division and published by UNData.
Contributions:4 reviews, 4 commits, 5 PRs in 9 months
yearlydivisionstatisticsunited-nationsnations
datasets/global-temp-anomalies
May 2017 - Mar 2018
Contributions:5 commits, 1 PR, 4 pushes in 10 months
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