DevOps/Infrastructure Site reliability Data Engineering and AI
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 - June 2025
● Responsible for full DevOps lifecycle and cloud/local infrastructure
● After acquisition migration and integration
● Creating scalable infrastructure and CI/CD pipelines for new app features and
services
● Migrate and deploy company products from Docker Compose to Kubernetes
● Weekly deploys, security, monitoring and on-call shifts
● Deploy and operate observability stack with ELK and CloudWatch
● Automation, system monitoring, troubleshooting and backup
January 2021 - June 2021
- acquired by Autodesk
October 2022 - March 2023
● Build scalable ETL pipelines and schedule them with Airflow
● Deploy and operate multi-node ELK stack: Elasticsearch, Logstash, Kibana &
Beats
● Set up infrastructure both locally and in Azure via Terraform
● Deal with REST API, middleware and backend
● Automation, system monitoring and backup
August 2020 - January 2021
● Build infrastructure for data engineering needs
● Design and implement efficient data storage, models and architecture
● Provide scalable ETL pipelines and schedule them with Airflow
● Collaborate with ML/AI team to streamline model training, validation, and
experimentation
● Facilitate collaboration between data scientists, software and mechanical
engineers
October 2019 - July 2020
● Deploy in production on k8s environment company applications and technologies like
Postgres, MongoDB, NextCloud, Jenkins, Spark, PrestoDB, Kubeflow
● Support ML team with data workflow and Dev team with deployments
● Migrating company products from Docker Compose to Kubernetes. Their deployment to
local clusters or cloud providers like GCP and 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
● Developing security and authorization mechanisms for internal services
August 2019 - November 2019
● Development and deployment of 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: +1 437 239 7174