Resume — Marina Zaporozhets

Work Experience

Data Engineer / BI Systems Developer

Retail IT

October 2025 — Present (4 months)

Designed and implemented end-to-end ETL/ELT pipelines integrating data from Oracle DWH, Excel/CSV files into ClickHouse
Reduced report preparation time from several hours to minutes by implementing automated data pipelines
Optimized ClickHouse database structure with storage engines (MergeTree, ReplacingMergeTree), partitioning, and projections, improving query performance 3-5x
Led BI migration from Qlik Sense to Apache Superset, maintaining business logic while reducing licensing costs and accelerating new report deployment by 40%
Built Airflow orchestration system from scratch in docker-compose with incremental loading and retry logic, achieving 99.9% data delivery reliability
Developed complex analytical SQL queries with window functions and CTE for near real-time KPI dashboards

Data Engineer

OOO "1T" — data.1t.ru

June 2023 — August 2025 (2 years 3 months)

Optimized DWH architecture (PostgreSQL + ClickHouse), reducing aggregate report execution time from 15 minutes to 90 seconds (10x improvement)
Developed and maintained 15+ Airflow DAGs achieving 99.9% success rate with automated retry and Telegram alerts
Built CI/CD pipeline on GitLab CI automating Docker builds, Kubernetes deployments, DB backups - eliminating 85% of manual operations
Implemented real-time CDC replication PostgreSQL → Kafka via Debezium, improving data freshness 5x
Created Python ETL parsers with Pandas, improving raw data processing speed 3x while reducing RAM usage by 40%
Integrated Hugging Face LLM into data pipeline via FastAPI, reducing NLP request latency from 8 to 1.2 seconds and saving 30% GPU resources
Automated infrastructure monitoring with Prometheus + Grafana, reducing incident response time from 30 to 5 minutes, achieving 99.97% uptime
Mentored 7 interns in Data Architecture; 2 hired full-time, 2 received offers from other companies

Education

Master's Degree

Tyumen Industrial University

Until 2027

Neural Network Technologies in Automated Control Systems (09.04.01)

Bachelor's Degree

Academy of Labor and Social Relations

2024

Applied Informatics (09.03.03)

Professional Development

Data Architect — OOO "1T" (2024)
Data Engineer — OOO "1T" (2023, with honors)
Data Science — School 21 Sber, Bauman Moscow State Technical University (2023)
Technical Analyst — OOO "1T" (2023, with honors)

Skills

Data Engineering

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

BI & Analytics

Apache Superset Qlik Sense SQL (Advanced) Window Functions CTE

DevOps & CI/CD

Docker Kubernetes GitLab CI GitHub Actions Terraform Ansible

Monitoring & Logging

Prometheus Grafana ELK Telegram Bot API

Programming Languages

Python Bash SQL

Backend & APIs

FastAPI Uvicorn Pydantic Hugging Face Jupyter

About Me

I'm interested in everything related to numbers and data. I possess organizational skills and leadership qualities. I adhere to 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. I have a son (born 2020).

Methodologies & Soft Skills:

Experience working with Agile/SCRUM methodology - participated in planning, daily standups, retrospectives
Team collaboration in Jira / Confluence
Mentoring experience and feedback skills
Responsible, proactive, result-oriented

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.

Ready for interviews, technical assignments, and case discussions.