CV
Miras Serikuly
+7-708-164-1825 | gmail | s-miras.com | github | linkedin | Almaty, Kazakhstan
Experience
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
Skills
Programming Languages: Python, Rust
Tools and Frameworks: Git, FastAPI, Axum, Plotly, Pandas, Polars, SQLAlchemy, Jupyter Notebooks
Data Engineering: ETL/ELT pipeline design and optimization, data warehousing, data modeling, data quality frameworks, geospatial data processing, PostgreSQL, MSSQL, DBT, Trino, Apache Airflow, Apache Superset, Apache Kafka, OpenMetadata, Dagster, PySpark, DeltaLake, DuckDB
Infrastructure and DevOps: Kubernetes, Docker, Terraform, Ansible, Gitlab CI/CD, Prometheus, Grafana, Loki, Tempo, ArgoCD, AWS, Hetzner
Languages: Russian (native), English (proficient), Kazakh (Intermediate)