Position: DevOps Engineer/Lead (AWS)
Category: DevOps
English level: fluent
Years of experience: 6

Certified Associate in Python Programming (PCAP)
AWS Solutions Architect
AWS Cloud Practitioner Essentials
Nginx Fundamentals: High-Performance Servers
Atlassian Jira and Confluence Administration
TeamCity 2018: Continuous Integration & Delivery
Docker and Kubernetes Chain
Infrastructure Automation With Terraform
Ansible Essentials by RedHat
Python3
C#
SQL
Information Security
Telecom and IoT multi-tenant project for enterprise clients:
Six AWS accounts, one per environment, one EKS cluster for each env. In total 10000+ pods in clusters, hundreds of nodes in scale (spot included), terabytes of metrics handled by CloudWatch, Prometheus, Grafana, FluentD, OpenSearch, and tens of micro-services (serverless, scheduled, hosted). Also, I created specific ETL pipelines via Airflow. Jenkins for CI/CD via groovy pipelines with shared libs and JJB. All infrastructure, including the deployment of apps, wrote by Terraform and Terragrunt.

Event-based CRM for a company from Fortune 500:
As an engineer, with the development team, we created an event-based CRM for managing customers' requests and deals. I as DevOps created CI/CD, and Terraform configs for all infra-parts (Lambdas, RDS, S3, DynamoDB, CloudFront, etc)

Web Platform for a logistic company:
As a part-time engineer I migrated a project on NodeJS, PHP, and React from VMs to AWS ECS, added CI/CD, and documented all things via Terraform configs and Confluence documentation (6 months)

IoT project for hotels and casinos:
As a part of DX Development team, I'm R&D templating for all clients' company include the security part and huge infrastructure as a code. 
Hosted on 10+ AWS accounts, have 20+ RDS instances, 30+ ElasticCache instances, 10+ Kubernetes Clusters with 300+ Nodes. All infrastructure is managed via Terraform.

Job searching platform: hosted on AWS, have 2 Postgresql DBs, 5 AWS:ElasticCache Redis instances, 1 MongoDB, 16 microservices on DotNet Core 2.2, two APIs on .Net Core, RabbitMQ, VueJS with NUXT for FE, ElasticSearch for logging and searching.
CI/CD managed by Gitlab CI and deployed to Kubernetes staging and production clusters. Kubernetes deployed with CloudFormation.

CRM for broker’s platforms: hosted on AWS, have 1 Postgresql DBs, 3 AWS:ElasticCache Redis instances, twelve microservices on DotNet Core 2.2, three APIs on DotNet ASP.Core, SPA Angular 8 for FE, ElasticSearch for logging and searching.
CI/CD managed by Gitlab CI and deployed to Kubernetes staging and production clusters. Kubernetes deployed with CloudFormation.
I don't work with Windows, Azure, and on-prem servers. Only interested in the cloud-based projects covered in Terraform.