Thomas Weise is a Streaming things at Apple. He possess expertise in software engineering, distributed systems, java, hadoop, software development and 31 more skills. Colleagues describe him as "I worked with Thomas to apply streaming processing (Apache Kafka, Flink and Beam) for Lyft dynamic pricing, forecasting and real-time supply management. Thomas is a true expert in this domain, and we could not make things happen without his expertise. further, he was actively connecting dots between my teams and other teams like Apache Druid team, machine platform team, and other infrastructure teams, to help us to make things happen. because of his deep tech expertise and his leadership, we could successfully build Apache Beam and Kafka pipelines for our real-time products. Most importantly, this is first successful streaming application in product teams inside Lyft, and this work shaped the direction of streaming inside lyft, which is something I am proud of.", "A great architect and mentor. A quick adoption to new teconologies and application in the the project.", and "Thomas is a great engineer combining technical depth, quick problem solving, attention to detail, and hard work. He brings passion for technology and professional maturity to any project he joins. Thomas was part of my team at Yahoo for about a year and even though he was new to the field of Hadoop he hit the ground running and provided valuable contribution from day one. He was very well liked and respected by his teammates and all of us were sad to see him go. He will always be on the short list of people I would want to work with."