Michał Korzeniewski

Remote, Poland

• ▸ Develop and maintain ETL pipelines using Scala and Apache Spark on Hadoop to process large-scale customer order data. Enabling better decision-making and analytics.
• ▸ Led the modernization of a legacy codebase by introducing CI/CD processes, improving deployment efficiency and reducing manual interventions.
• ▸ Established and advocate engineering best practices, enhancing code quality, maintainability, and collaboration within the team.

Warsaw, Poland

• ▸ Worked on PPC/PPV Advertising System based on lambda architecture (stream & batch processing) with usage of technologies such as Spark, GCP, Kafka, RxJava, TDD, hexagonal architecture
• ▸ Cost Optimization: Migrated ETL processing on GCP, designed and optimized data pipelines, achieving cost reduction of over 60% in infrastructure costs
• ▸ Coordinated process of expanding internationally; designed strategy, cooperated across department

Warsaw, Poland

• ▸ Developed distributed research decision platform leveraging ML & AI. Collaborated with scientist teams based in US
• ▸ Performance Optimization: Enabled product to scale by leading changes and advocating reactive approach in my team (instance numbers reduced from 25 to 2 with no memory leaks)

Warsaw, Poland

• ▸ Developed a distributed system for collecting worldwide clients survey data with technologies like Vert.x, RxJava, Hazelcast
• ▸ Led architecting and implementing a data stream processing solution using AWS Kinesis, Lambda (Python) with an IOC written in terraform