Alexander Kamenetsky

AI/ML • Tyumen, Russia • UTC+05:00 • In office, Partially remote, Fully remote • Relocation • Work permits: Russia • Available in 2 weeks

Automation Engineer

Python

SQL

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Overview

Technical skills

Timeline

Roles

Overview

Automation and integration engineer with 15+ years of experience building workflow and data automation for business operations and platforms. Currently designs n8n workflows and develops Python/FastAPI microservices that integrate with REST APIs and external services, including orchestration of AI services via APIs. Experienced in creating reliable automation pipelines with monitoring, logging, and reliability improvements.

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Technical skills

Python

SQL

Python

FastAPI

Databases

PostgreSQL

Qdrant

MySQL

AI/ML

LLM

NumPy

Pandas

DevOps

Docker

Rest API

Git

CI/CD

Analytics

Power BI

Tableau

Timeline

Automation & Integration Engineer / Backend Engineer • Middle

Supply Chain Consultants LLC • Full-Time

Aug 2024 to Present 2 Years 1 Month In office

Designed and maintained automation workflows in n8n for internal business platforms. Built Python/FastAPI microservices to implement complex business logic outside low-code flows and connected them to REST-based systems. Integrated workflows with external services and internal data sources, using webhooks and API triggers. Improved reliability through retries, error handling, logging, and performance-focused refactoring; orchestrated external AI services via APIs.

Python

FastAPI

Rest API

Docker

PostgreSQL

Qdrant

LLM

Automation & Data Analyst / Process Automation Specialist • Middle

Sakhalin Energy LLC • Full-Time

Jul 2010 to Jul 2024 14 Years In office

Created operational and analytical automation workflows for supply chain and operations departments. Built data processing pipelines and standardized reporting, including KPI dashboards and business reporting tools across teams. Served as a bridge between business users and technical systems to translate requirements into automation solutions and improve reporting reliability and data quality.