For several years, in the Data and Analytics organization, Bartosz helped teams to create cost optimal architecture and fine-tuned several key Big Data Java-based jobs, resulting in substantial cost savings on cloud expenses. He collaborated closely with Google architects and engineers to identify cost-effective cloud solutions for Big Data processing. Bartosz actively shares his knowledge and experience at various tech conferences, including JDD, Google Cloud Data Live, GeeCon, and the Data Science Summit. Additionally, he has been a featured speaker at AGH University, internal Google tech talks, and Sabre internal and external meet-ups. You can find Bartosz regularly blogging about programming best practices on his personal blog and contributing to projects on GitHub.
Architecture