Resume: DevOps Engineer/Data Engineer
MYKHAILO DANYLYSHYN
Deerfield, IL 60015
************@*****.***
www.linkedin.com/in/mykhailo-danylyshyn-b7a1b3275
Fully Work Authorized
No Vise Sponsorship Required
PROFESSIONAL SUMMARY:
Qualified and motivated DevOps engineer with 5+ years of experience developing, implementing, and supporting effective and scalable DevOps solutions. Seeking a position where I can leverage my technical expertise in IT to drive the success of an innovative organization.
EDUCATION:
Master of Laws, Jurisprudence 06/30/2011
Kyiv National Aviation University (Ukraine)
Bachelor of Laws, Jurisprudence 06/30/2010
Kyiv National Aviation University (Ukraine)
Software Test Engineer 11/2015-11/2016
Polish-Japanese Academy of Information Technology (Poland)
DevOps Engineer 12/2018-10/2019 Internation Tectorial Academy (Chicago, IL USA)
SKILLS:
- AWS, Asure, Google Cloud Platform
- Python, Jawa, Jawascript
- Terraform, Ansible
- Jenkins, GIT
- CI/CD
- PostgreSQL
- Apache Airflow, Spark, Kafka
- Oracle, MySQL, NoSQL
- Amazon DynamoDB
- Docker, Kubernetes
- Scripting and automation, Bash, PowerShell
- Version control system (Git, SVN)
- Monitoring and logging (Prometheus, ELK Stack, Graphana)
- Hands-on knowledge of software containerization platforms like Docker and container orchestration tools like Kubernetes and Docker Swarm
- Continuous learning and improvement
- Strong problem-solving and troubleshooting
- Fluency in English, Ukrainian, Polish and Russian
PROFESSIONAL EXPERIENCE:
DevOps Engineer 01/2020 - 01/2025
JOHN DEERE, (East Moline, IL USA)
Automated the deployment of serverless applications using AWS Lambda and Terraform, reducing deployment time by 60%
Worked on core AWS services such as setting up EC2 instance in AWS, configuring security group, setting up Elastic IP, and configuring Elastic Load Balancers (ELB) with EC2 scaling group
Configured and automated the Jenkins Build jobs for continuous integration and continuous deployment (CI/CD)
Created/maintained Docker container cluster managed by Kubernetes, Linux and Bash
Maintained the user accounts (IAM, RDS, Route 53, VPC, RDB, Dynamo DB, Lambda, SQS, and SNS in the AWS cloud
Migrated the application hosted on EC2 to a serverless framework using AWS lambda and API gateway
Adjusted and built AWS infrastructure for various resources, VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling and RDS in Cloud Formation
Implemented continuous delivery framevork using Jenkins, Maven, and Ansible in Linux
Configured and managed High Available Cloud-based Wi-Fi/Network
Orchestrated Docker container cluster, using Kubernetes/Docker Swarm
Managed GitHub repositories and permissions, including branching and tagging
Created and optimized workflow automation tools to facilitate data interpretation and presented via statistical modeling techniques
Was responsible for creating new pipelines and maintaining existing CI/CD pipelines in the project
Cloud Engineer 04/2018 - 01/2019
EPAM (Warsaw, Poland)
Was working with databases MySQL, NoSQL, Oracle and small Data Lakes (entered data, changet it, use various method of analysis to obtain the necessary information and relevant data.
Used Kafka for real-time data streaming technology which capable of handling millions of events per day for PostgreSQL, Oracle, MongoDB, S3.
Used Apache Spark for memory management, parallelism and partitioning, caching and persistence, resource configuration, monitoring and debugging etc.
Implemented fault-tolerant, elasticity, and highly available AWS Cloud Infrastructure automated with various resources, EC2, IAM, VPC, ELB, Route53, S3, Cloud Ttail, RDN, SNS, Auto Scaling Group for a multitude of applications
Created Python scripts to automated AWS services, which include web servers, ELB, Cloud Front distribution, database,EC2 and database security groups, S3 bucket and application configuration
Worked on Docker to create images and containerize the application build, by writing Dockerfile to customize Docker container images, tagging and pushing the images to the Docker repository/registry
Wrote Terraform code to provision infrastructure in AWS
Used Ansible as infrastructure as code to write to deploy configuration in an open stack environment
Used Shell/Python scripts to automate the deployment process
Infrastructure development on AWS using various services like EC2, S3, RDS, Route 53, CloudFormation, CloudWatch, IAM, VPC etc.
Managed, developed and designed a dashboard control panel for customers and administrators PostgreSQL, and VMWare API calls
Tester software 01/2017 - 03/2018
BEETROOF AB, (Kyiv, Ukraine)
Archived department-wide improvement metrics based on QA scored through the 46% and 22% workload reduction of the customer support and IT departments respectively.
Standardized Test Plans, Test Scripts, Test Cases, Daily Status Reports, etc., documents leading to a 20% increase in productivity.
Improved the bug tracking-process by implementing JIRA, leading to a 40 % decrease in unresolved bugs.
Working with tools like JIRA, TestRail, Selenium, and a couple more.
PROFESSIONAL DEVELOPMENT (certifications)
AWS Certified Cloud Practitioner
Terraform Associate certification