Yaroslav Wen

Experienced Senior Data Engineer with 10 years of expertise in building and optimizing scalable data pipelines, cloud solutions, and real-time analytics for companies like Revolut, Under Armour, and Amazon. Skilled in ETL processes, Snowflake, dbt, Airflow, and AWS, with a proven ability to drive business outcomes through data-driven products, fraud prevention, and customer personalization. Passionate about sports, especially soccer and exercising, and committed to collaborating with cross-functional teams to deliver impactful, high-performance data systems.

PROFESSIONAL EXPERIENCE

Revolut, Senior Data Engineer 06/2022 – Present | Dublin, Ireland

•Designed and implemented ETL pipelines processing 500GB+ of data daily for Revolut's banking, crypto, and stock trading products using dbt and Airflow, automating data flows and reducing manual effort by 70%.

•Migrated legacy systems to Snowflake, improving query performance by 50% and reducing data storage costs by 30% while ensuring seamless integration with AWS cloud infrastructure.

•Built a real-time fraud detection system for Revolut Card, processing user behavior data alongside transaction data to reduce fraud by 20%.

•Leveraged Databricks to enhance batch processing capabilities, improving the efficiency of data transformations and enabling faster processing of large-scale financial data.

•Led the design of data models for financial reporting, reducing report generation time from 24 hours to under 4 hours.

•Integrated BigQuery for advanced financial analytics, enabling real-time insights for Revolut's finance and risk teams and supporting critical business decisions in personal loans and investment products.

•Automated data transformations using dbt, ensuring high-quality data and reducing data errors by 25% across Revolut's product lines.

•Ensured GDPR compliance for sensitive financial data and user information, maintaining high standards for data privacy and security across Revolut's platform.

•Increased data observability by implementing monitoring frameworks, improving the reliability of data used for business-critical decision-making processes.

•Worked closely with the Risk and Finance teams to integrate real-time financial insights into Revolut's Risk Management systems, improving risk mitigation and compliance reporting.

Under Armour, Senior Data Engineer 11/2018 – 06/2022 | Dublin, Ireland

•Built real-time data pipelines using PySpark and Kafka, processing 100GB+ of data daily to enable personalized product recommendations for the Under Armour App, leading to a 12% increase in conversion rates.

•Migrated legacy data systems to Snowflake, optimizing performance and reducing data processing time by 40%, ensuring fast access to critical data for Product and Marketing teams.

•Developed customer segmentation models for the UA Health App, integrating fitness data and app usage metrics, which increased customer retention by 25%.

•Designed data models for fitness tracking data from connected devices, enabling insights into workout performance and health analytics, supporting product development and marketing strategies.

•Created interactive dashboards in Tableau and Grafana, providing real-time insights into user activity and product performance, enhancingdecision-making for Marketing and Sales teams.

•Implemented data quality frameworks using dbt, reducing data errors by 30% and ensuring the reliability of the data used for campaign performance analysis.

•Optimized data infrastructure for AWS cloud platforms, reducing operational costs and improving scalability for data-driven projects.

•Ensured GDPR compliance for fitness tracking and personal health data, maintaining high standards of data privacy and security across UnderArmour's fitness ecosystem.

Amazon, Data Analyst 09/2017 – 09/2018 | Miami, US

•Conducted in-depth analysis of user behavior data across Amazon's personalization engine, leveraging AWS Lambda, Kinesis, and Redshift to analyze over 200TB of user data daily, contributing to personalized shopping experiences for 500+ million customers.

•Developed and maintained real-time dashboards using Apache Flink and Amazon Kinesis data streams, improving real-time product recommendation accuracy, which resulted in a 10% increase in sales for targeted product categories.

•Analyzed product demand forecasts and inventory levels, generating insights that helped optimize Amazon’s inventory management system, leading to a 20% reduction in stockouts and a 15% decrease in excess inventory.

•Partnered with the advertising team to provide actionable data insights for Amazon's sponsored products division, supporting the development of a data-driven bidding system that contributed to a 25% increase in ad revenue year-over-year.

•Assisted in optimizing ETL processes by analyzing data processing bottlenecks and using Amazon EMR and Redshift, resulting in a 50% increase in operational efficiency and a reduction in data processing time from 6 hours to 45 minutes.

•Designed and automated reporting systems to track key performance metrics for AWS services, providing the executive team with data-backed insights that helped reduce cloud infrastructure costs by 30%.

•Streamlined data warehousing processes by optimizing Amazon's Redshift infrastructure, resulting in a 40% reduction in data retrieval time for business-critical reports and improving reporting efficiency.

Accenture, Software Analyst 06/2016 – 08/2017 | Miami, US

•Analyzed and optimized data workflows for UnitedHealth Group, leveraging SQL and Python to streamline data processing of sensitive patient information, resulting in a 15% improvement in operational efficiency.

•Designed and developed data models to integrate financial data from multiple sources for UnitedHealth Group, enabling the generation of consolidated reports in Tableau and speeding up decision-making by 20%.

•Automated the extraction and integration of data from legacy systems for UnitedHealth Group using Python and Apache Airflow, reducing manual data processing time by 50% and improving operational efficiency.

•Assisted in the development of a cloud-based analytics solution for UnitedHealth Group, utilizing AWS Redshift for centralized data processing, contributing to a 10% increase in revenue through real-time sales insights.

•Conducted data quality audits using SQL for UnitedHealth Group, identifying and resolving discrepancies in large datasets, improving data accuracy by 15%.

•Participated in the cloud migration strategy for UnitedHealth Group, ensuring a seamless transition to cloud-based analytics while maintaining compliance with industry regulations.

Bachelor's Degree in Computer Science, University of Florida 08/2012 – 05/2016