Daniil Dmitriev

Background

About Daniil Dmitriev

Technical leadership. SRE, DevOps, Platform engineer. AWS, GCP, On-premise. Kubernetes, Monitoring, Databases, Networking, Development. I am traveling in Southeast Asia. Skill Set: — Good knowledge of Computer Science: operating systems, networks, databases, development experience in a large number of languages. Skills in analyzing and managing complex systems; — Infrastructure: AWS, GCP, Baremetal: Qemu/KVM virtualization on pure libvirt, Proxmox and Virtuozzo. Able to build infrastructure from scratch, optimize what already exists. Reduce costs, tune for special requirements. Code everything in IaC: Ansible, Terraform; — Linux: mainly Ubuntu, CentOS. — Networking: networks in general; Cisco; Cloud networks; networking in Linux; Kubernetes networking, Istio, Calico, Cilium; — Kubernetes and ecosystem, Docker, Helm, Kustomize and much more; — CI/CD: GitHub Actions, Jenkins, GitlabCI, Argo Project: ArgoCD, Workflow, Rollout, Events. GitOPS approach; — Databases: PostgreSQL, ClickHouse, Redis, MongoDB, ElasticSearch (+ others: described in the experience). Experiments with Cassandra and AWS DynamoDB; — Rust, Python, JavaScript, HTML/CSS, PHP, SQL, Java, Groovy, Bash, C. I like working with the frontend, writing components and assembling it all with webpack. I can dig into the back-end, optimize SQL, write in Groovy for Jenkins, write automation in Python; — Monitoring: OpenTelemetry, Grafana, Prometheus, Vector (and *bits: filebit, fluentbit, fluentd, etc), ClickHouse, ELK stack (Elasticsearch, Logstash, Kibana), Graylog, Zabbix, DataDog: the tools themselves and the practice of Observability in general; — Data engineering and ML engineering: Classic ML; SciKit-Learn (and something else, like CatBoost, etc), Pandas, NumPy, Matplotlib, Seaborn; Analysis and preparation of data for them: ETL/ELT, EDA, Features engineering.