Alexey Akhmetov
System Engineer at fins.money
Moscow, Moscow City, Russia
Summary
🤩
Rockstar🎓
Top SchoolAlexey Akhmetov is a seasoned system engineer with 13 years of experience building and operating Linux-based infrastructure, CI/CD pipelines, containerized deployments and monitoring stacks from Moscow. He currently supports development and delivery at fins.money, combining hands-on administration (CentOS, Nginx, PostgreSQL, Redis) with IaC (Ansible), GitLab CI pipelines and observability (Prometheus, Grafana, ELK). Alexey has real-world experience running distributed systems in production—Docker Swarm, RabbitMQ and test/dev environment provisioning—and previously maintained large retail office infrastructure at METRO/MAKRO. As an open-source contributor he improved Grafana’s alerting internals (state caching, error annotations, persisters), showing an ability to dive into complex back-end code for widely used projects. Pragmatic and reliability-focused, he blends software-oriented automation with operational discipline to keep services observable and deployable.
12 years of coding experience
2 years of employment as a software developer
Диплом специалиста по инженерной специальности, Вычислительные машины, комплексы, системы и сети, Диплом специалиста по инженерной специальности, Вычислительные машины, комплексы, системы и сети at Московский технологический университет
Github Skills (12)
alertdialog10
telegram-bot-api10
caching10
go10
alertview10
alerts10
telegram-api10
python10
testing9
database-management9
githubaction-workflow7
github-ci7
Programming languages (13)
Github contributions (5)
grafana/grafana
Apr 2024 - Apr 2025
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:177 reviews, 239 PRs, 842 pushes in 1 year
Contributions summary:Alexey primarily focused on improving the alerting functionality within the Grafana platform. Their work involved optimizing alert state caching by using a hash of labels as the cache key, improving efficiency. Furthermore, they fixed errors related to transitions and restarts, specifically the state.Error not updating in all cases, and added the ability to add error annotations to indicate the cause of data source errors. Additionally, the user added support for rule-level state persisters and made the alerting state more configurable.
visualizeobservabilitybusiness-intelligencegrafanaprometheus
alexander-akhmetov/tdlib-compiled
Apr 2019 - Jun 2024
Contributions:1 release, 9 pushes, 3 tags in 5 years 3 months
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