Marina Zaporozhets

Marina Zaporozhets

Data Engineer & DevOps Specialist

GitHub Profile Contact Me
Source
Orchestrate
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Live System Metrics
Latency: 120ms
Throughput: 450 msg/s
Errors: 0
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About Me

I'm a passionate Data Engineer and DevOps Specialist with over 2.5 years of experience building scalable data pipelines and automating cloud infrastructure.

My expertise lies at the intersection of data engineering and infrastructure automation. I design and implement end-to-end data solutions, optimize analytical databases, and migrate BI ecosystems.

Methodologies & Soft Skills:

  • Experience working with Agile/SCRUM methodology - participated in planning, daily standups, retrospectives; able to decompose tasks and meet deadlines
  • Documented processes and architecture in Confluence - maintained up-to-date documentation
  • Mentoring experience and feedback skills - able to explain complex technical concepts clearly, support motivation and development
  • Responsible, proactive, result-oriented - always looking for opportunities to improve, automate, or accelerate processes

Value to the team: I don't just build pipelines - I create reliable, scalable, and observable data infrastructure that enables businesses to make faster decisions while teams spend less time "fighting fires." My solutions are measurable in speed, stability, and resource efficiency.

I possess organizational skills and leadership qualities. I follow the "Lifelong learning" concept - continuously acquiring new skills and knowledge. I adapt well and work excellently both in team settings focused on results and on individual tasks. I'm non-confrontational.

Currently pursuing my Master's degree in "Neural Network Technologies in Automated Control Systems" at Tyumen Industrial University.

Data Engineering

Skills

Data Engineering

Apache Airflow Apache Spark Apache Kafka Debezium PostgreSQL ClickHouse Oracle DWH Redis

DevOps & CI/CD

Docker Kubernetes GitLab CI/CD GitHub Actions Terraform Ansible Prometheus Grafana

BI & Cloud Platforms

Apache Superset Qlik Sense AWS GCP Yandex Cloud

Languages & Tools

Python SQL Bash FastAPI Pandas Jupyter Hugging Face

Projects

Data Pipeline Overview

End-to-End ETL/ELT Pipeline

Built scalable pipelines integrating Oracle DWH, Excel/CSV files into ClickHouse, reducing report preparation time from hours to minutes.

ClickHouse Airflow Oracle ETL/ELT
BI Migration Project

BI Migration Project

Migrated BI reports from Qlik Sense to Apache Superset, maintaining business logic while reducing licensing costs and accelerating new report deployment by 40%.

Superset Qlik Sense BI Analytics
Infrastructure Automation

Infrastructure Automation

Built CI/CD pipeline on GitLab CI automating Docker builds, Kubernetes deployments, DB backups, eliminating 85% of manual operations.

GitLab CI Kubernetes Docker Automation
15+
Projects Completed
2.5
Years Experience
25+
Technologies
7+
Certificates

Contact Me

Resume

Basic Information

Name: Marina Zaporozhets

Specialization: Data Engineer & DevOps Specialist

Age: ... years

Available for: Remote work, relocation

Expected salary: from 250,000 ₽ net

Current Work
Data Engineer / BI Systems Developer
Retail IT
October 2025 — Present
ClickHouse Airflow Superset ETL/ELT
Previous Experience
Data Engineer
OOO "1T"
June 2023 — August 2025
Airflow Kubernetes GitLab CI PostgreSQL
Key Skills
Python Airflow ClickHouse CI/CD Kafka FastAPI Prometheus Superset
Education
Master's Degree
Tyumen Industrial University
Until 2027
Bachelor's Degree
Academy of Labor and Social Relations
2024