Infrastructure/DevOps Software development Data Engineering
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Balancing at the intersection of DevOps, backend, data and ML. Experience with Python, JS(React), Bash, SQL, Docker, Kubernetes, Helm, Linux and more.
Look here for a collection of my latests projects, exercises, articles, and more.
A collection of my open source projects and repositories.
Speech recognition and recognizing intents using C# and python - Azure Cognitive Services
Tableau, Power BI, ArcGIS, Python packages and more. Visualization which turns data into meaningful information to make better business decisions
Build an integrated financial system for Jayne’s Cottage. Integrate to our final application three different systems used by this company: QuickBooks functions for accounting, ADP for payroll, Bambora for Credit Card processing.
Projects and exercises that I have been working on
repository of lessons and exercises
Currently I'm looking for opportunity in Toronto. Please don't hesitate to contact me
August 2020 - November 2020
● Deploy and operate multi node ELK stack: Elasticsearch, Logstash, Kibana, Beats
● Build scalable ETL pipelines and schedule them with Airflow
● Migrate and deploy company products from Docker Compose to Kubernetes
● Set up infrastructure both locally and in Azure with Terraform
● Deal with REST API, middleware and backend
● Automation, system monitoring and backup
November 2019 – July 2020
● Deploy in production on k8s environment suck technologies as: Postgres, MySQL,
MongoDB, Jenkins, Spark, PrestoDB, Kubeflow
● 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 local servers on k8s for data science team with GPU/CUDA support, making
sure that data stay safe in PV
● Build ETL pipelines for further use in machine learning
● Developing applications backend
● System monitoring and backup
August 2019 – November 2019
● 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
● Implemented Front-End and deployment process
● 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