Apache Flink® & everything streaming data
Speakers
Global 2020
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
- Shashank AgarwalGeneral ManagerRazorpay
Shashank Agarwal is one of the founders of Thirdwatch. After the acquisition of Thirdwatch by Razorpay, he currently heads the Thirdwatch business at Razorpay and is focused on curating a wholesome fraud solution for e-commerce businesses. He also heads engineering for the risk vertical at Razorpay. Shashank has a demonstrated history of working on Data platforms, AI/ML technologies, adTech and mobile based solutions. He is a true believer in tech innovation leadership and has developed multiple products in the past scaling them from 0 to 1.
- Enrico AgnoliSoftware EngineerWorkday
Agnoli Enrico is a Software Engineer at Workday. During the last 5 years, he worked on multiple technical projects as a developer, tech lead and people manager at different stages. Currently involvements:
- As architect and developer to technically lead the delivery of a new DataStreaming platform to support ML
- Investigate new technologies and deliver POC for possible new tools/products, like streaming platforms, blockchain, audibility of machine learning models and data security
- Being part of the Workday Giving&Doing foundation, he helps to organize events and raise awareness on various causes / nonprofit groups.Studied at Politecnico of Milan and moved to Germany right after to work first on Honda’s ASIMO humanoid robots, then on automation software in one of Europe biggest datacenter for Amadeus and finally for Workday, #1 Future Fortune company of 2018. Workday's innovator of the year in 2018 for a research project on Blockchain.
- Muhammad Haseeb AsifBig Data ResearcherRISE/KTH
Haseeb Asif is a dual degree master student at the KTH Royal Institute of Technology, Stockholm, and TU Berlin. His primary focus of work is in distributed systems and Data intensive processing. He wrote his master thesis on External Streaming State Consistency and Processing Guarantees for Apache Flink. His research work is focused on performance optimization of state backends. In particular, stream processing using modern data stream processing engines, i.e. Apache Flink.
- Niels BasjesPrincipal IT Architectbol.com
Niels Basjes (1971) has been working for bol.com since May 2008. Before that, he was working as a Webanalytics architect for Moniforce, and as an IT architect/researcher at the National Aerospace Laboratory in Amsterdam. Since the second half of the 1990s he has been working on processing problems that require scalability. He has applied these concepts in the past 20 years in aircraft/runway planning, IT operations and in the field of web analytics to build reports for some of the biggest websites in the Netherlands. Also at bol.com the primary focus of Niels Basjes are scalability problems and he is responsible for a shift in thinking about data and the business value it contains. Niels designed and implemented many of the personalization algorithms that are in production today at bol.com. Niels studied Computer Science at the TU Delft, and has Business administration degree at Nyenrode University. Niels is an active opensource developer who is one of the Apache Avro PMC members and has authored ( https://github.com/nielsbasjes/ ) and contributed various improvements and bugfixes to projects like Hadoop, HBase, Pig and Flink.
- Lawrence BensonStudentHasso Plattner Institute
Lawrence is a PhD student in the Data Engineering Systems Group at the Hasso Plattner Institute (HPI) in Potsdam under the supervision of Prof. Dr. Tilmann Rabl. His research interests lie in data- and stream-processing on modern hardware, such as non-volatile memory (NVRAM) and remote direct memory access (RDMA). Before beginning his PhD, he completed his M.Sc. at HPI, also with a strong focus on databases and stream processing. During his studies he did two internships at Google in California and New York, working on stream processing.
- Austin Cawley-EdwardsSenior Software EngineerFinTech Studios
Austin Cawley-Edwards is a Senior Software Engineer at FinTech Studios, using real-time data to bring clarity to financial news. He frequently works with Apache Flink, RabbitMQ, and Elasticsearch. He also loves API design, taking part in collaborative communities, and sometimes JavaScript.
- Shahid ChohanInfrastructure EngineerStripe
Shahid Chohan is a software engineer on Stripe’s Streaming team where he works on a number of real-time data infrastructure initiatives, including operating Flink as a platform for Stripe’s engineers. Prior to joining Stripe, Shahid worked on change-data-capture, real-time data-warehousing, and real-time experimentation systems at Yelp.
- Michal CiesielczykMachine Learning EngineerDeep.BI
Michał Ciesielczyk is a Machine Learning Engineer at Deep.BI. He is responsible for researching, building and integrating machine learning tools with a variety of technologies including Scala, Python, Flink, Kafka, Spark, and Cassandra. Previously, he worked as an assistant professor at Poznan University of Technology, where he received a Ph.D. in computer science and was a member of a research team working on numerous scientific and R&D projects. He has published more than 15 refereed journal and conference papers in the areas of recommender systems and machine learning.
- Stephan EwenCTOVerverica
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.
- Gyula ForaSoftware EngineerCloudera
Gyula is a Software Engineer in the Flink Engineering team at Cloudera working on integrating Flink into the Cloudera platform.
He has been a committer and contributor since the early days of Flink streaming and has used Flink in large scale production at King for almost 4 years 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.
- Zhenqiu HuangSoftware EngineeerApple
Zhenqiu Huang has been in Apache Flink Community for many years. He has been building Streaming Platform in Uber Technology and Apple Inc for last several years. Recently, he worked with Openlineage community on building data Lineage for Apache Flink applications.
- Nick HwangEngineering ManagerIntuit
Nick leads the Stream Processing Platform team as a part of the Intuit Data Platform. He focuses on providing self-serve and low-barrier access to state-of-the-art stream processing technologies throughout Intuit. Previously, Nick has also applied big data technologies to trust and safety (at Reddit) and predictive marketing (at Radius Intelligence).