Position: Python Developer / AWS Cloud Developer
Category: Python
Experience: 4 years | English: fluent

‣ AWS Certified Developer Associate
‣ Designed and implemented a workflow for data patching in DynamoDB. Done in a form of Jenkins pipeline and a separate table to keep the history and to validate each patch against. 
‣ Created a pipeline for performing integration tests with DynamoDB inside docker on Jenkins.
‣ Configured mitm proxy integration + base scenarios with it for automation testing.
‣ Built a service that integrated with customer's website, google sheets, google forms and mailchimp/mailerlite API. It gathered leads, sent emails, stored records, sent additional emails via scheduler functionality.  
‣ Developed a website for monitoring purposes, written in flask with async which is being used in a unicorn company
‣ Legal documents classifier using machine learning, it could give a name to paragraphs of raw text and then define type of document, written with scikit learn, nltk and pandas
Personal experience:
‣ 4+ years of commercial experience
‣ currently building proprietary framework for performance testing of a new product in the field of Observability 
‣ built an API integration service based on API Gateway and Lambdas for media platform
‣ wrote unit, functional, integrational and automation tests
‣ created and improved existing Jenkins pipelines 
‣ designed and implemented the process for data patching of DynamoDB tables
‣ worked as an SRE on a super high-load project with millions of requests per minute
‣ have experience with Flask and FastAPI frameworks
‣ written many scripts for metrics extraction, aggregation and transfer from servers to monitoring tools
‣ built several bots for telegram and instagram automation
‣ created a bot for market bidding/selling in one of online games
‣ experience in web scraping (e.g media monitoring)
‣ did a js+electron desktop quiz for displaying purposes at an expo  
‣ Natural Language Processing, Named entity recognition projects at the university (with nltk and scikit-learn)
‣ Previously, several pet projects in unity c#.

Current project is performance testing framework in Observability. It is being written from scratch, in python 3.11, it aims to boost the development of a new product and make sure it is able to operate in high load. The product itself is opensource and in early beta so there are a lot of interactions between teams, design decisions and changes.

Previous project involved creating an API integration based on API Gateway and Lambdas with DynamoDB, S3, Cloudwatch monitoring, described in CloudFormation, Cloudfront distribution, with the use of SSM, SNS, SES. 
Also written unit, functional, integrational and automation tests. Created and improved CI\CD pipelines. Helped managing team's tasks and flow. 

Before that worked as SRE. The scope of work was infrastructure maintenance, monitoring and enhancement. It included AWS (EC2, S3, CloudWatch, ECS, SNS) and GCP (Stackdriver, BigQuery, GKE) also Apache Dataflow and SuperSet. My responsibilities were: deployments support, finding and raising all kinds of issues in infrastructure and product, analyzing TBs of logs, handling of production incidents, daily cooperation and problem solving with Dev, Product, R&D, DevOps and Support teams

Also have freelance experience closing various jobs for small businesses.
My focus is Python development possibly with DevOps/Cloud tasks. Perfect employer for me is product IT company.