About

Andy Wang is a highly skilled Data Engineer with over 7 years of experience in the field. Currently employed at Apple, he specializes in big data and machine learning platforms, data pipelining, and hybrid or cloud supporting infrastructure. His expertise lies in Apache Beam for ETL pipelining, Airflow for orchestration, and Kubeflow for distributed machine learning workloads. Prior to his current role, Andy worked as a Technical Consultant at Taos, where he provided technical expertise to Google. He also worked as a Software Engineer Intern at Maxta Inc., where he facilitated the deployment of product software to KVM virtualization platforms using automated build and packaging tools. He constructed, modified, and maintained a Python codebase and toolchain, and modified a buildchain based on SConstruct to include packaging deliverable rpm files for use with baremetal server product installation. Andy holds a Bachelor of Science degree in Computer Science from San Jose State University, which he completed in 2015. He has a strong technical background in Data Engineering, Machine Learning, Apache Airflow, Big Data, ETL, infrastructure, and software engineering. With his extensive experience and knowledge, Andy is a valuable asset to any organization looking to improve their data engineering capabilities. He is a proactive problem solver, with excellent communication and collaboration skills, and a proven track record of delivering high-quality results.