Alexey Popitich

Data Engineer

Karpov.Courses•  May 2023 - August 2024•  Minsk, Belarus

• Established a scalable Data Architecture from scratch, delivering a reliable and high-performance infrastructure supporting the company's growth to 500,000+ users. • Reduced ETL Data Pipeline development time by 2-3x by implementing modern approaches and ETL Tools, such as Airflow, S3, ClickHouse and advanced pipeline optimization techniques, significantly improving data delivery efficiency. • Led the adoption of cloud infrastructure and Data Services (S3, Yandex Cloud), reducing operational costs by 1.5 times and improving data processing speed. • Created and maintained detailed documentation following Data Governance principles, ensuring streamlined onboarding and knowledge transfer within the engineering team. • Streamlined SDLC processes for data projects, resulting in a 40% reduction in deployment time and enhanced code quality.

Data Engineer

Syberry•  December 2021 - October 2023•  Austin, TX

• Designed and optimized ETL Jobs for high-traffic applications, processing and transforming over 5TB of data per month and improving data flow efficiency. • Maintained data integrity through Server Databases across diverse datasets, ensuring 100% accuracy and analyzing reliability in reporting systems. • Introduced process automation for data validation and reporting, cutting reporting time and reducing human error frequency by 2 times. • Collaborated with international teams, ensuring smooth delivery of data engineering solutions across projects in multiple industries (finance and healthcare).

Big Data Engineer

ISsoft (Coherent Solutions)•  June 2021 - September 2021•  Minneapolis, MN

• Developed scalable architecture for a movie search platform using Hadoop and PySpark, implementing indexing techniques and improving query speed by 20% while optimizing resource usage. • Managed infrastructure on Google Cloud Platform (GCP), optimizing virtual machine performance for Loading and Extraction of big data, reducing latency by 15%. • Led performance benchmarking and Debugging across different system configurations, contributing to an overall improvement in application response times.