Save the date October 20, 2026
Creating a Community of Curiosity
About hayaData
hayaData conference is a not-for-profit event built for the data engineering, data science, BI, and data analytics communities. It is the place to hear insights from leading speakers, learn about the newest industry tools, and get best practices for working with big data.
We <3 data and we created this conference with the goal of bringing together the data community, data engineers & scientists, developers, researchers, and everyone interested in big data, to share knowledge and mingle. Every fan of data is invited.
Speakers
Noa Radin
Staff Data Scientist, HoneyBook
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Yonatan Dolan
Solutions Architect, ClickHouse
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Efrat Aran
Head of Data, OurRitual
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Amit Bendor
Head of AI & Data Science, Unity
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Sofie Zilberman
Solutions Architect, Databricks
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
Dotan Mor
Staff Data Platform Engineer, Riskified
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Mica Rubinson, PhD
AI & Data Science Manager, Navina
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Alon Agmon
R&D Director, Sheba Medical Center
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Noa Radin
Staff Data Scientist, HoneyBook
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Yonatan Dolan
Solutions Architect, ClickHouse
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Efrat Aran
Head of Data, OurRitual
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Amit Bendor
Head of AI & Data Science, Unity
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Sofie Zilberman
Solutions Architect, Databricks
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
Dotan Mor
Staff Data Platform Engineer, Riskified
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Mica Rubinson, PhD
AI & Data Science Manager, Navina
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Alon Agmon
R&D Director, Sheba Medical Center
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Conference sponsors
Community partners
venue
InterContinental David Tel-Aviv
For the third year in a row, hayaData will take place at the David InterContinental Tel Aviv, located close to public transportation and just a short walk from the Elifelet Light Rail station. Paid parking is available at the hotel and in nearby parking lots around the venue.
Get tickets
Tickets sale will start soon! Please note that most of the conference talks will be in Hebrew, with some delivered in English.
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