Anuar Ustayev is a Technical Lead with a decade of experience building data catalogs, open data portals and internal data management systems for governments, NGOs and enterprises. He has led and engineered national-level projects including data.gov (US), NHS and national electricity operators in the UK and Denmark, and contributed to deployments across North America, Europe, Singapore and the UAE. At Datopian he blends product leadership with hands-on full‑stack work, notably implementing a CKAN‑compatible portal frontend (portaljs) and driving data pipeline improvements for high-profile datasets like COVID-19 time series. His background spans startup founding and practical systems design—reimagining locker-based logistics for Central Asia—and a solid academic grounding from Warwick and Al‑Farabi. Known for shipping pragmatic, auditable solutions, he also co‑stewards CKAN and maintains active open‑source contributions that bridge frontend, APIs and data engineering.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technics and Technologies, Mathematical and Computer Modelling, Bachelor of Technics and Technologies, Mathematical and Computer Modelling at Al-Farabi Kazakh National University
Master of Science - MS, Warwick Manufacturing Group (WMG), Master of Science - MS, Warwick Manufacturing Group (WMG) at University of Warwick
🌀 Rapidly build feature-rich data portals using a modern frontend framework. CKAN compatible.
Role in this project:
Full-stack Developer
Contributions:1 release, 28 reviews, 119 commits in 1 year 8 months
Contributions summary:Anuar implemented the foundation for a data portal frontend using Next.js and React. Their contributions include setting up mocks and a configuration module, copying and adapting utility functions from a previous frontend version, and building the initial search page with essential components. They also created a stub for a dataset page and integrated the Apollo client for querying a CKAN API. Further development includes improvements on dataset page, and resource page.
Contributions:59 commits, 10 PRs, 37 pushes in 1 month
Contributions summary:Anuar primarily focused on developing and refining data pipelines for the COVID-19 dataset. They implemented data transformations, aggregations, and schema updates using Python and the dataflows library. The user added new resources, pivoted data for easier visualization, and created aggregated datasets by country and worldwide. Additionally, they addressed data quality issues by specifying missing value properties and updated data sources.
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Anuar Ustayev - Technical Lead, Product at Datopian