Infrastructure/DevOps Software development Data Engineering
learn moreExperience at intersection of DevOps, backend/frontend, data and ML.
Core: 6 years of Enterprise Experience
Terraform | Kubernetes| Python and more.
Look here for a collection of my latests projects, exercises, articles, and more.
Currently I'm looking for opportunity in Toronto. Please don't hesitate to contact me
June 2021 - May 2025
● Responsible for full DevOps lifecycle and cloud/local infrastructure
● Creating scalable infrastructure and CI/CD pipelines for new app features and services
● Weekly deploys, security, monitoring and on-call shifts
● Creating observability stack with ELK and CloudWatch
● Automation, system monitoring, troubleshooting and backup
January 2021 - June 2021
- acquired by Autodesk
August 2020 - December 2020
● Build scalable ETL pipelines and schedule them with Airflow
● Support ML team with data workflow and Dev team with deployments
● Deploy and operate multi node ELK stack: Elasticsearch, Logstash, Kibana, Beats
● Migrate and deploy company products from Docker Compose to Kubernetes
● Deal with REST API, middleware and backend
● Set up infrastructure both locally and in Azure with Terraform
November 2019 – July 2020
● Deploy in production on k8s environment company applications and technologies like Postgres, MongoDB, Jenkins, Spark, PrestoDB, Kubeflow
● Migrating company products from Docker Compose to Kubernetes. Their deployment to local clusters or cloud providers like GCP/AWS
● Speed up deployment of microservice architecture and release control via Helm charts
● Setting up k8s ML environment on local servers for data science team with GPU/CUDA support
● Build ETL pipelines for further use in machine learning
● Developing security and authorization mechanism for internal services with SMS and social media logging using React/Outh0/Twilio
October 2019 – July 2020
● Creating and deploying Chatbots and Voicebots on premise and to IBM Cloud Kubernetes Service in collaboration with IBM Data science team
● Creating interactive machine learning dashboards and deploying them as web applications
December 2018 - March 2019
● Data integration of financial systems used by this company: QuickBooks for accounting, ADP for payroll, Bambora for credit card processing
● Data Analytics and Data Management
September 2018 - April 2019
Full-time Ontario College Graduate Certificate program at
Georgian college
● Programming languages: Python, Bash, SQL
● Databases: MySQL, Postgres, MongoDB, IBM Db2
● Big Data systems: Hadoop, Spark
● Web, API's and Social Media Data Mining Techniques
● Cloud services: Azure, AWS, IBM
● Data visualization tools: Tableau, Power BI
● Statistic and Prediction Models for Data Analytics
September 2016 - February 2018
Odessa State Academy of Civil Engineering and Architecture
September 2012 - July 2016
Odessa State Academy of Civil Engineering and Architecture
March 15, 2019
volunteering as an event instructor
November 30, 2018
volunteering as assistant coordinator
Experienced in development and DevOps.
Let me take some of the work off of your hands and help you focus on what matters most to you.
Comfortable with Python, JS(React), SQL, Bash, Docker, Kubernetes, GCP, and more, I can move your development in a way that makes sense to you.
With experience in Cloud, DevOps, Automation and more, we can work together to find exciting ways to move your development process into the future.
Support your DS team by implementing, deployment and serving of ML algorithms in meaningful and painless way
Toronto, Canada
Phone: +1 249 288 1077