We’re excited to return to ASML for our annual meetup! This year, we have two concurrent tracks featuring a total of four talks. We're also thrilled to welcome a special guest from the US coming over to ASML: Joe Reis, author of "The Fundamentals of Data Engineering," who will be doing an AMA.
Joe | Ask Me Anything about Data Engineering or Otherwise
Joe Reis is here to answer all of your questions about data engineering, the state of the industry and technology, and anything else on your mind. This is a very rare change to have a free-flowing conversation with Joe Reis.
Cristiano & Shashank| Automating Creating Trusted Data Products: a developer experience-driven approach
Creating high-quality data products is a complex task that often burdens data professionals with repetitive activities. Our trusted dataset creation framework aims to alleviate this challenge by providing a comprehensive mechanism that automates essential processes in data product development. This presentation will delve into how it not only simplifies workflows but also improves developer experience by enhancing feedback loops and cognitive load.
Juan | Standardization of Predictive Maintenance Pipelines
Juan will show how his team, The Model Factory, is currently setting up a framework that ensures that all our predictive maintenance pipelines follow standards that ensure 1) Short time-to-market, 2) maintainability, and 3) interpretability of outputs and intermediate calculations.
Ismael & Ricardo | Airflow 3.0: A New Perspective on MLOps and GenAi
The new version of Airflow is more than just a tool for data orchestration, and is coming up early 2025. Airflow It's evolving to meet the needs derived by the explosion of GenAi applications, and it is even changing its internal architecture to be faster and more flexible.
In this talk, we'll discuss how Airflow 3.0 is evolving to support the requirements of modern applications. We'll also provide a practical example of using Airflow with a RAG implementation. It's a look at the future of Airflow, and we hope you'll join us.
Program
17:00 – 18:00 🍕 Food
Track 1
- 18:00 – 18:10 🎤 Welcome
- 18:10 – 19:00 🎤 Joe | Ask Me Anything about Data Engineering or Otherwise
- 19:00 – 19:15 ⏸️ Break
- 19:15 – 20:00 🎤 Cristiano & Shashank | Automating Creating Trusted Data Products: a developer experience-driven approach
Track 2
- 18:00 – 18:10 🎤 Welcome
- 18:10 – 19:00 🎤 Ismael & Ricardo | Airflow 3.0: A New Perspective on MLOps and GenAi
- 19:00 – 19:15 ⏸️ Break
- 19:15 – 20:00 🎤 Juan | Standardization of Predictive Maintenance Pipelines
20:00-21:00 🥤 Drinks
20:15-21:00 Tour ASML experience center
Joe Reis | Author, data engineer, "recovering data scientist"
Joe Reis, a "recovering data scientist" with 20 years in the data industry, is the co-author of the best-selling O'Reilly book, "Fundamentals of Data Engineering." He’s also the instructor for the wildly popular Data Engineering Professional Specialization on Coursera, created with DeepLearning.ai and AWS.
Joe’s extensive experience encompasses data engineering, data architecture, machine learning, and more. He regularly keynotes major data conferences globally, advises and invests in innovative data product companies, writes at Practical Data Modeling and his personal blog, and hosts the popular data podcasts "The Monday Morning Data Chat" and "The Joe Reis Show." In his free time, Joe is dedicated to writing new books and articles, and thinking of ways to advance the data industry.
Cristiano Rocha | Lead Data Engineer
Cristiano is a lead engineer at ASML with an educational background in Distributed and Parallel Computing. With over 15+ years of experience in on-premise and cloud data-based solutions, Cristiano has a wealth of knowledge in building and maturing high-impact data platforms and self-service analytics programs for large organizations. He has extensive experience in a variety of roles, including data infrastructure engineer, self-service analytics platform engineer, data engineer, big data competence lead, DataOps competence lead, machine learning engineer, and data analyst.
Shashank Shekhar | Senior Data Engineer
Shashank is a Senior Data Engineer at ASML with extensive expertise in cross-cloud technologies and architecting and optimizing data pipelines that drive actionable insights. Over 7 years in the industry, Shashank has successfully executed complex data projects, enabling organizations to harness the full potential of their data.
Juan Manuel Ortiz Sevillano | Machine Learning Engineer
Juan is originally a Data Scientist who turned into a Machine Learning Engineer driven by the need to make ML models produce actual value. He currently focuses on reducing time-to-market and improving maintainability of Predictive Maintenance pipelines at ASML
Ismael Cabral | Author, Machine Learning Engineer
Ismael is a Machine Learning Engineer and Airflow trainer at Xebia Data in The Netherlands. At the same time, he is currently co-authoring the 2nd version of “Data Pipelines with Apache Airflow”.
Ricardo Granados | Author, Analytics Engineer
Ricardo Granados, co-author of Fundamentals of Analytics Engineering, is an analytics engineer specializing in data engineering and analysis. With a master’s in IT management and a focus on data science, he is proficient in using various programming languages and tools. Ricardo is skilled in exploring efficient alternatives and has contributed to multicultural teams, creating business value with data products using modern data stack solutions. As an analytics engineer, he helps companies enhance data value through data modeling, best practices, task automation, and data quality improvement.
Note:
For security reasons, we must register all visitors in advance. When registering, we ask for additional information such as first and last name, e-mail address and possibly license plate of your vehicle if you want to use a parking facility. Please use the extra field "Reason for visiting" to register your license plate.
Please note: bring a valid ID!
