Ivan Yolgin

. . Ivan Yolgin Ukraine - - in/ivan-yolgin-b- SUMMARY Experienced Data Engineer with expertise in cloud platforms (AWS, GCP, Azure) and a strong background in building and optimizing ETL pipelines using Airflow, Spark, and PySpark. Skilled in working with large-scale data environments, relational and analytical databases (PostgreSQL, BigQuery, Snowflake), and leveraging cloud-native tools for efficient data processing. Proven track record of delivering scalable, high-performance data solutions in fast-paced industries. EXPERIENCE Senior Data Enginner December 2023 - Present SoftConstruct • Developing and maintaining complex ETL pipelines using Airflow to process and analyze terabytes of data for two major products: a cryptocurrency exchange and a gambling platform (casino and betting). • Reduced pipeline runtime by 30% through optimization of data workflows, ensuring scalability and reliability in high-traffic environments. • Enabled real-time analytics by integrating data from 50+ sources, improving business decision-making speed by 20%. • Ensured compliance with GDPR and AML regulations, minimizing operational risk in handling sensitive user data. Senior Data Engineer EPAM SYSTEMS November 2019 - November 2023 • Delivering robust data solutions for global clients, including Nordstrom, Cox Automotive, and Nike. Expertise in building scalable data pipelines, cloud migrations, and optimizing big data systems. Proven ability to support business objectives through innovative data engineering practices. • Engineered and deployed robust data pipelines utilizing Apache Spark and Kafka, enhancing data processing efficiency by 60% and supporting real-time analytics for complex business requirements. • Proficient in AWS, GCP, Azure, Airflow, and Python, with a strong focus on performance and reliability. EDUCATION Master's Degree in Software Engineering National University of Shipbuilding • Mykolaiv, Ukraine • 2023 CERTIFICATIONS Professional GCP Data Engineer Google • 2023 • Demonstrates expertise in leveraging GCP services to design, build, and optimize scalable, efficient, and reliable data solutions. SKILLS Cloud Platforms & Tools • AWS: Glue, Athena, Lambda • GCP: BigQuery, Dataflow, Dataproc • Azure: Data Factory, Synapse Analytics, Data Lake . . Data Engineering • ETL/ELT Pipelines: Airflow (DAGs), Spark, PySpark • Workflow Automation and Optimization Databases • Relational: PostgreSQL, MySQL, SQL Server • NoSQL: MongoDB • Analytical: BigQuery, Snowflake Programming & Scripting • Python (pandas, NumPy) • SQL (Performance Tuning, Complex Queries) • Shell Scripting Big Data & Analytics • Apache Kafka, Databricks • Tableau (Dashboard Integration and Optimization) Other Tools • Git (Version Control), Docker (Containerization), Terraform (Infrastructure as Code)