Middle Data Engineer — Alem Agro Holding Oct 2024 - Present
Led integration of Kubernetes-based data processing platform across 2 cloud and on-premise
environments, managing 20+ microservices with GitOps-based infrastructure achieving zero
unplanned downtime
Streamlined >1k daily Airflow task runs leveraging custom operators and multiple metrics
collectors to achieve >99% success rate and easy post-mortem analysis in case of failures
Deployed comprehensive observability stack (Prometheus, Grafana, Loki, Tempo) with 50+ custom
alerts and 15+ dashboards
Set up 10+ GitLab CI/CD pipelines for custom deployments and infrastructure management, reducing
deployment time by 30% and minimizing human involvement in routine tasks
Spearheaded GitOps transformation, leading adoption across 2 teams and establishing IaC
standards to prevent configuration drift
Mentored 2 data engineer interns, providing guidance on best practices for data engineering and
infrastructure management
Systems Support Engineer — Home Credit Bank May 2024 - Oct 2024
Provided L2 technical support for a mobile banking application with 1M+ downloads, ensuring high
availability and performance while maintaining SLA
Monitored and analyzed incidents using Grafana and Splunk across highly distributed
microservices architecture, identifying root causes and implementing solutions to prevent
recurrence
Integrated Splunk with JIRA to automate incident creation and routing, reducing manual ticket
creation time by 90% and improving incident response time by 35%
Core Systems Support Engineer — Eurasian Bank Dec 2023 - May 2024
Developed 3+ custom Python-based monitoring tools to automate routine checks and reduce manual
workload for the support team saving approximately 4 hours of manual work per week
Resolved 100+ complex L2 incidents monthly affecting internet banking and payment processing
systems working directly with core systems development teams and vendors
Performed root cause analysis on 15+ critical incidents, identifying 5 systemic issues
Data Engineer (Part-time) — Almaty Institute of Technologies Aug 2023 - Oct 2024
Designed and implemented ETL/ELT pipelines processing 500GB+ of geospatial datasets from
multiple sources
Developed 5 custom interactive visualization tools using D3.js, Bevy, and Plotly to render
large-scale geospatial data (10M+ data points)
Implemented comprehensive data quality framework with 200+ automated tests achieving reliable
and accurate data for research and analysis purposes
Optimized spatial data transformations and indexing strategies, improving query performance by
60% for geographic analysis operations on multi-terabyte datasets
Education
Bachelor in Fundamental Informatics and Information Technologies — 2019–2023 Peter the Great St.Petersburg Polytechnic University (SPbPU), Saint Petersburg, Russia