Tetiana

TETIANA KALINICHENKO
Data Engineer

[відкрити контакти](див. вище в блоці «контактна інформація»)​
[відкрити контакти](див. вище в блоці «контактна інформація»)​
github.com/Tetiana-art-analyst​
Open to relocation

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TECHNICAL SKILLS
Programming Languages: Python, SQL, Bash
Data Engineering: Apache Airflow, ETL/ELT Pipelines, Docker, Git, CI/CD
Databases: PostgreSQL, MySQL, Database Design, Query Optimization, Data Warehousing
Cloud Platforms: AWS (S3, Lambda, RDS), Azure, Google Cloud Platform
Data & BI Tools: pandas, SQLAlchemy, NumPy, Power BI, Tableau, Advanced Excel
PROFESSIONAL EXPERIENCE
Data Engineer | AgroTech Solutions LLC, Remote | January 2025 - Present

●​ Developed automated ETL pipelines processing 50,000+ agricultural data records daily, achieving 99%+ accuracy
through comprehensive validation systems and data quality checks
●​ Built Python-based data extraction and transformation workflows integrating 20+ data sources (REST APIs,
databases, CSV files), reducing manual processing time by 40%
●​ Optimized SQL queries and database operations, improving data processing performance by 40% and enabling
real-time analytics capabilities for business stakeholders
●​ Implemented Apache Airflow workflows for data orchestration with scheduling, error handling, monitoring, and
automated recovery mechanisms ensuring reliable operations
●​ Created Power BI dashboards tracking supply chain metrics, commodity prices, and market trends, providing
actionable insights for 20+ agricultural cooperatives
●​ Collaborated with cross-functional teams to design scalable data architecture supporting business growth and
analytical requirements

KEY PROJECTS EDUCATION & CERTIFICATIONS

Automated Data Pipeline System Data Analytics Professional Certificate
Technologies: Python, PostgreSQL, Airflow, Docker, Dan IT Education | 2024​
AWS 480+ hours intensive program
Core areas: Python, SQL, ETL Development, Data
●​ End-to-end ETL pipeline with automated Warehousing, Cloud Technologies
error handling
Bachelor of Engineering
●​ Data quality validation ensuring 99.5%
accuracy National Aviation University, Ukraine​
●​ Containerized deployment with Docker 2015

Sales Analytics Data Warehouse
Technologies: Python, SQL, Power BI, Data
Modeling

●​ Data warehouse processing 100,000+
records
●​ Interactive BI dashboards for executives
●​ Query optimization improving performance
by 40%

Languages: English (B2) • German (B1) • Ukrainian (Native) • Russian (Native)