Alexander Yatskov
Python Developer | Backend Engineer | Cloud-Native Systems
Summary
Python Developer with 8+ years of experience building scalable backend systems, data pipelines,
and cloud-native applications. Proven track record of refactoring legacy systems, optimizing
performance, and delivering production-ready software in fast-paced environments. Strong
foundation in Golang and DevOps practices with a focus on AWS-based infrastructure.
Core Competencies
● Programming Languages: Python, Golang
● DevOps Tools: AWS, Terraform, Docker, CI/CD, AWS SAM
● Databases: MongoDB, PostgreSQL, DynamoDB
● Frameworks: Django, Flask/FastAPI, Pyramid, Echo
● Other: Asynchronous and event-driven architecture
Professional Experience
PR Kuein
Python/Go Developer (Freelancer)
May 2016 – Current
Tech stack: Python, Go, AWS, Django, Flask, Pandas/Polar, Docker, Neo4j, Pytest
● Completed 60 freelance projects with a 100% success rate, earning Top Rated status on Upwork
● Delivered solutions across diverse domains including web scraping, data visualization, and
blockchain.
● Transitioned projects between Python, Go, and Rust based on client needs, optimizing for both
server-based and serverless architectures.
Command Center Inc
Python Developer/DevOps
April 2024 – July 2024
Tech stack: Airflow, FastAPI, Docker, AWS
● Designed and optimized AWS cloud infrastructure using Terraform.
● Developed and maintained ETL pipelines to integrate third-party services (Burp, Jenkins, …etc),
with the main platform.
Qualimental Technologies
Lead Python Developer
December 2021 – May 2024
Tech stack: Pyramid, MongoDB, PostgreSQL, Pandas, LLM
● Led a high-load NLP project, managing a database of 160 million records with PostgreSQL.
● Reduced codebase by 25%, cleared two-year backlog within one year.
● Integrated multiple third-party data sources and developed custom data visualization tools.
GrowthChannel
Lead Backend Developer
October 2019 – August 2021
Tech stack: Go, Python, AWS, MongoDB
● Migrated a digital marketing platform from Django to an AWS Lambda-based architecture.
Reduce maintenance cost to ⅓ from original
● Created CI/CD pipelines for auto deployment and testing
