
About the speakers
Meet the experts from global companies like Apple, Pinterest, Splunk, Netflix, Shopify, and more, who have built scalable streaming infrastructure and enterprise-grade applications.
Hear why and how they use Flink as the stream processing engine of choice for large-scale stateful applications, including real-time analytics, real-time search and content ranking, fraud/anomaly/threat detection.
Speakers
Peter Huang is a Tech Lead Manager of the Streaming Analytics Team at Uber. He is leading and managing Flink and its ecosystems inside Uber.
Till is a PMC member of Apache Flink and software engineer at Ververica. His main work focuses on enhancing Flink’s scalability as a distributed system. Till studied computer science at TU Berlin, TU Munich and École Polytechnique where he specialized in machine learning and massively parallel dataflow systems.
Gunnar Morling is a software engineer and open-source enthusiast by heart. He is leading the Debezium project, a distributed platform for change data capture. He is a Java Champion, the spec lead for Bean Validation 2.0 (JSR 380) and has founded multiple open source projects such as JfrUnit, Layrry, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at a wide range of conferences like QCon, Java One, Devoxx, JavaZone, and many others. He's based in Hamburg, Germany.
Hans-Peter (@hpgrahsl) is a technical trainer at NETCONOMY. As an independent engineer and consultant he helps customers to build cloud-based or on-premises data architectures using modern technology stacks and NoSQL data stores. He is also an associate lecturer for Software Engineering at CAMPUS 02 and is speaking at tech-related and developer conferences. For his code contributions, conference talks and blog post writing at the intersection of the Apache Kafka and MongoDB ecosystems, Hans-Peter received the Confluent Community Catalyst award twice and became one of the founding members of the MongoDB Champions Program.
Aniket Mokashi is an Engineering Manager on Stream Processing team at Facebook. Throughout his career, he has contributed to the development of large scale data processing frameworks and platforms. Prior to Facebook, he has worked on data platform teams at Youtube, Twitter and Netflix. He is also a committer and PMC member on Apache Parquet and Apache Pig projects. Aniket holds a Master's degree in Information Networking from Carnegie Mellon University.
Lu Niu is a software engineer at Pinterest working on building Flink as a service @Pinterest. Before Pinterest, he worked at Uber, primarily working on Presto. Lu holds a master's degree from University of Southern California and a bachelor’s degree from Sun Yat-sen University.
Zhongting Hu is Tech Lead Manager of the Interactive Analytics Team at Uber. He is leading and managing Presto ecosystems inside Uber.
Chen has been working on the Pinterest stream processing platform, Xenon. Previously, he has been working on various data systems since 2007.
Before Pinterest, He contributed to open source projects (Apache Flink, XGBoost) and introduced Flink to Uber in 2016.
David is a Senior Software Engineer at Ververica and Apache Beam committer. He spent the last half of the decade working on petabyte-scale data pipelines and leading some of the most amazing engineering teams. His current focus is on the Deployment and Coordination of Apache Flink.
Nagesh Honnalli is a senior software engineer at Amazon Kinesis Data Analytics with primary focus on highly available fault tolerant distributed systems. He is currently working on building a highly available platform for managing Flink jobs on Kinesis Data Analytics. In his stint at AWS, Nagesh has been a part of launching multiple production ready services including Amazon Kinesis Data Firehose and Amazon Kinesis Data Analytics that continue to delight AWS customers.
Brian Likosar (“liko” pronounced lick-OH) is an open source geek with a passion for working at the intersection of people and technology. Prior to joining AWS, he was at Confluent helping with Apache Kafka and spent 10 years prior to that at Red Hat helping folks with Linux, JBoss, OpenShift, and Ansible. He’s based near Chicago in the U.S. and enjoys sports, live music, and theme parks.
I am a Senior Software Development Engineer at Amazon AWS working on the Kinesis Data Analytics platform. We provide a fully managed platform for Apache Flink jobs. I also enjoy contributing to open source projects and am an Apache Flink Committer.
Steffen Hausmann is a Principal Streaming Architect at AWS. He works with customers around the globe to design and build streaming architectures so that they can get value from analysing their streaming data. He holds a doctorate degree in computer science from the University of Munich and in his free time, he tries to lure his daughters into tech with cute stickers he used to collect at conferences.
Francesco comes from Verona, Italy and works as a Developer Advocate at Aiven. With his many years of experience as a data engineer, he has stories to tell and advice for data-wranglers everywhere. Francesco loves sharing knowledge with others as a speaker and writer, and is on a mission to defend the world from bad Italian food!
Gyula is a Principal Engineer in the Flink Engineering team at Cloudera, working on building enterprise grade streaming analytics products.
He has been a committer and contributor since the early days of Flink streaming and has used it in large scale production since the early days, delivering innovative real-time applications at a global scale. Gyula grew up in Budapest where he first started working on distributed stream processing and later became a core contributor to the Apache Flink project. Gyula has been a speaker at numerous big data related conferences and meetups, talking about stream processing technologies and use-cases.
Neng Lu is a staff software engineer at StreamNative where he drives the development of Apache Pulsar and the integrations with big data ecosystem. Before that, he was a senior software engineer at Twitter. He was the core committer to the Heron project and the leading engineer for Heron development at Twitter. He also worked on Twitter’s monitoring and key-value storage systems. Before joining Twitter, he got his master's degree from UCLA and a bachelor's degree from Zhejiang University.
Sijie Guo is the co-founder and CEO of StreamNative, which provides a cloud-native event streaming platform powered by Apache Pulsar. Sijie has worked on messaging and streaming data technologies for more than a decade. Prior to StreamNative, Sijie co-founded Streamlio, a company focused on real-time solutions. At Twitter, Sijie was the tech lead for the messaging infrastructure group, where he co-created DistributedLog and Twitter EventBus. Prior to that, he worked on the push notification infrastructure at Yahoo!, where he was one of the original developers of BookKeeper and Pulsar. He is also the VP of Apache BookKeeper and PMC member of Apache Pulsar.
Chief Architect & Head of Cloud Engineering
Addison Higham has deep experience with streaming technologies such as Flink and Spark. Seeking a new stream storage technology for his previous company, Instructure, Addison discovered Pulsar and quickly became a Pulsar champion and drove the company’s adoption of the technology. Addison then joined StreamNative, where he leads development of StreamNative Cloud and helps customers to successfully adopt Pulsar. Addison lives in Salt Lake City, Utah.
Tim Spann is a Developer Advocate @ StreamNative where he works with Apache Pulsar, Apache Flink, Apache NiFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming.
Shuyi Chen is a software engineer in the stream processing team at Facebook. He is the TL responsible for building the streaming SQL native engine & state storage engine at Facebook. Before joining Facebook, Shuyi led the stream processing platform at Uber which is built on top of Apache Flink & Apache Calcite. He is a committer of both Apache Flink and Apache Calcite. Shuyi has years of experience in storage infrastructure, data infrastructure, and mobile development at Facebook, Google and Uber.
Kenny has decades of experience with various data platforms behind some of the busiest companies in the world. He has had roles as Founder, CEO, Chief Technologist, Architect, Developer, and DBA.
Most recently, Kenny Co-Founded Eventador.io with a mission to build the best in class streaming SQL engine based on Apache Flink. He is active in the Apache Kafka and Apache Flink communities - speaking at conferences and participating in community events.
Márton is an Apache Flink PMC member and one of the first contributors to the Flink Streaming API. He has driven big data adoption at around 50 customers as a Solutions Architect at Cloudera during his previous role. For the past 2 years he is the manager of the Streaming Analytics team and focuses on growing Flink on the Cloudera platform.
Mátyás has been working at Cloudera and assisting customers on their big data journey since 2016. After being a member of the Support, then the Professional Services organizations he has joined Engineering as a founding member of the Cloudera Flink team. He focuses on end-to-end customer experience including security and operations.
Erik Beebe is a Principal Engineer / Streaming SQL Engineer at Cloudera
A data scientist and TensorFlow addict, Robert has a passion for helping developers quickly learn what they need to be productive. He's used TensorFlow since the very early days and is excited about how it's evolving quickly to become even better than it already is. Before moving to data science Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs. You can find him on Twitter at @robert_crowe.
Reza Rokni is a Developer Advocate for Google Dataflow at Google.
Kenn Knowles is an Apache Software Foundation Member and chair of the Apache Beam Project Management Committee. Kenn has been working on Google Cloud Dataflow—Google’s Beam backend—since 2014. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD in programming languages from the University of California, Santa Cruz. Kenn is really looking forward to a post-Covid haircut.
Kyle Weaver is a Software Engineer at Google
Asterios Katsifodimos is an Asst. Professor the Delft University of Technology. His research focuses on scalable stream processing, engines for executing cloud applications, and data integration. Before TU Delft, Asterios worked at the SAP Innovation Center, TU Berlin and the University of Cyprus. Asterios holds a PhD from INRIA & University of Paris 11.
Vasiliki (Vasia) Kalavri is an Assistant Professor at Boston University, Department of Computer Science, where she leads the Complex Analytics and Scalable Processing (CASP) Systems lab. Her research focuses on distributed stream processing systems and large-scale graph analytics. Before joining BU, Vasia was a postdoctoral fellow at ETH Zurich and received a joint PhD from KTH (Sweden) and UCLouvain (Belgium).
Kym Hines is a Distinguished Engineer and leads Data Processing at Splunk, where she is guiding the work on cloud based streaming processing. Prior to Splunk, she was the tech lead and manager of Flume and the backend shared by both Flume and Google Cloud Dataflow. Flume is Google’s answer to general purpose, large scale, parallel computation, and it has been made available outside of Google as Dataflow & Apache Beam. She received her Ph.D. in Computer Science from the University of Washington,
Bhavani Balasubramanyam is a Software Engineer in Reddit's Anti-Evil Engineering team working towards improving safety on the platform. Working on developing large-scale stream processing systems that analyze and action bad content.
Vignesh is a Software Engineer at Reddit working on using streaming technologies like Flink Stateful Functions and Kafka to keep users safe on the platform. Previously, he worked on distributed systems at Optimizely.
Eric has been in the tech industry for over 20 years as an engineer, CTO, and most recently, CEO. Prior to founding Decodable, he held a number of different roles as an early Cloudera employee, and later, was the CTO and co-founder of Rocana which was acquired by Splunk in ‘17. At Splunk, Eric was a VP and Sr Distinguished Engineer responsible for cloud platform services. Eric is the author of Hadoop Operations (O’Reilly).
Lorna is based in Yorkshire, UK; she is a Developer Advocate at Aiven as well as a published author and experienced conference speaker. She brings her technical expertise on a range of topics to audiences all over the world with her writing and speaking engagements. Lorna has a strong background in open source, and a passion is for better Developer Experiences for developers everywhere. You can find out more about Lorna on her website https://lornajane.net.
As Head of Product at Ververica, Konstantin supports multiple product teams working on Apache Flink, Stateful Functions and Ververica Platform in both feature discovery as well as delivery. He is currently focusing on Stateful Functions, the youngest project of the Apache Flink family. Previously, he has been leading the solutions architecture team, helping our clients as well as the Open Source community to get the most out of Apache Flink.
Stephan Ewen is CTO and co-founder at Ververica where he leads the development of the stream processing platform based on open source Apache Flink. He is also a PMC member and one of the original creators of Apache Flink. Before working on Apache Flink, Stephan worked on in-memory databases, query optimization, and distributed systems. He holds a Ph.D. from the Berlin University of Technology.
I'm a software engineer and expert for data-intensive applications. In the last decade, I've developed and maintained open-source data processing systems, including Apache Flink and Apache Beam. Apart from developing software in the open, I also had the chance to put it to use by building, deploying, and troubleshooting application platforms for these systems.
Raffaele Saggino is a Data Communication Architect at Intesa Sanpaolo, technical lead of the team in charge of designing Streaming Infrastructures.
He is responsible for the introduction of Apache Kafka, Apache NiFi and Apache Storm in the company.
Federica Pizzato is a Physics Engineer that joined Intesa San Paolo in 2016, taking the role of Data Communication Infrastructure Engineer.
She was responsible of the Flink integration into the company ecosystem and she coordinated all the automation activities necessary for the job life cycle.
Igal is a Team lead at Ververica, where he mostly works on expanding the use of stream processing to new frontiers, previously he was working on Apache Flink, and the Ververica Platform. His interests are around distributed systems, writing clean and testable code.