Особисті дані приховані

Yevheniia Kaspruk
Junior Big Data Engineer
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
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Telegram: @eugenykaspruk

Professional Summary
Aspiring Junior Big Data Engineer with a solid foundation in Data Science from American University Kyiv and hands-on data engineering experience.
Optimizing distributed data architectures, automating workflows, and constructing end-to-end ETL/ELT pipelines.
Possesses a strong analytical mindset and an exceptional attention to detail, combined with hands-on experience across the Apache ecosystem, modern
NoSQL databases, and AWS cloud infrastructure.

Technical Skills
Languages: Python, MySQL, PostgreSQL
Distributed Compute: Apache Spark (PySpark, Spark Streaming), Trino
Orchestration: Apache Airflow, Apache Kafka
Storage: AWS S3, MongoDB, Cassandra, HDFS, YARN
Cloud & DevOps: AWS (Certified Cloud Practitioner certification in progress), Docker, Git/GitHub

Professional Experience
Big Data Engineer Intern @ Grid Dynamics
12/2025 – 05/2026
Infrastructure: Built a distributed Big Data sandbox to test and validate integration across the Apache ecosystem.
ETL Pipelines: Developed modular Python and PySpark pipelines to automate large-scale data processing between HDFS, AWS S3, and NoSQL
databases.
Orchestration: Designed Apache Airflow DAGs to coordinate complex data processing workflows.
Storage: Configured and optimized HDFS, AWS S3, Cassandra, and MongoDB clusters for data staging.
Query Optimization: Tuned SQL queries to boost performance across distributed Trino engines.
Resource Management: Managed cluster resource allocation, queues, and job scheduling using YARN to maximize pipeline efficiency.
Architecture: Evaluated and selected the most efficient tools for analytics tasks.

Education
American University Kyiv
2024 – 2027: Bachelor of Science, Data Science

Certificates
📜 Certificates (link)
Languages
Ukrainian: Native Speaker
English: C1 / Full Professional
Spanish: B1 / Limited Working

Core Strengths
Attention to Detail
Problem-Solving
Fast Learner
Cross-Team Collaboration
Adaptability

Yevheniia Kaspruk 1