🤠🚀 May the --force be with you 💪🏽🥳 Open Source Event!

♥️ This meetup group is run by 100% volunteers who support the Seattle open source community. ✨ We’re a committed team, pouring our hearts into every event, made possible by the incredible generosity of our sponsors and their in-kind donations.🎗Our meetup group exclusively welcomes in-kind donations and does not accept monetary contributions. Despite our very limited resources, we’re always striving to make each event better than the last! 🥳

🌷Your reviews truly mean so much—they help us keep uplifting the incredible open source community and secure more in-kind donations!"

Join us and support the open source community! 🥳🌟 In-person event - This is your chance to connect with an extensive open source community with over 50+ Enterprises, Startups and Academia 🌎🚀

Your network is your fortune. Growing and nurturing your network is one of the most important things you can do for your career ♥️

🥳 🍬 🍭🍿 An event for our local tech community, with a strong focus on knowledge exchange, networking, and learning 🌟 Get together with Seattle Spark + AI, PyLadies Seattle, GDG Bellevue, PyData Seattle and Women Techmakers Seattle

Event program:
6:00 - 6:30 - Candy 🍭🍬 eat, beverages, swag and network Hamburgers, Fried Chicken, Tamales, Tacos, Cuban Sandwich, Vietnamese Sandwich, Mochi Donuts, desserts! - Donated by Databricks and Delta Lake 🍿🍔 Swag: Google 👩‍🚀💙🚀 💕🌷 🧁🍩
6:30 - 6:40 - Announcements
6:40 - 7:15 - Speaker 1 - Talk
7:15 - 7:45 - Speaker 2 - Patrick Ames Principal Engineer working on data management and optimization for big data technologies Talk Talk: Multi-year exabyte-scale lakehouse migration from one open source data management stack (Apache Spark on Iceberg and Parquet) to another nascent open source data management stack (Ray on DeltaCAT and Arrow).
7:45 - 8:40 - Keynote - Saurabh Sarkar Chicory - Co-Founder. Chicory automates data preprocessing and ML workflows with AI agents, enhancing productivity 100x on your existing tech stack.
8:40 - 9:00 - Pies and cake bar! 🥳🎄🤠🍰🧁

🚨 Attention

• Due to restrictions at our venue, strictly no children allowed.

💟 WiFi: Industrious Guest
We recommend to arrive early as seats are limited and are first come first serve 🌷🌸🌼

Parking options:

• There is paid parking at the building.
• Bellevue Place, Lincoln Square parking and Hyatt Bellevue are complimentary with validation from Bellevue Place and Lincoln Square retail, restaurants and entertainment. After 8:00 p.m. – No validation is necessary.

♥️ 🥳 Join Us at Our Next Event!
https://www.meetup.com/bellevue-gdg/events/

🌷 Our meetup events are made possible thanks to the open source community and a group of volunteers from a diverse background doing the best they can in every event 🌟 Volunteering opportunities please fill in the details here 💟

Supporting over 9500+ software engineers and data scientists enthusiasts in the Seattle area 🌷 We provide all our meetup services free of charge thanks to generous sponsors that provide us with in kind donations in every event.

♥️🌎🚀✨ Call For Proposals 👩‍🚀♥️🌎🚀
If you have a presentation of between 10 minutes up to 40 minutes that you would like to share with our meetup group, please submit a short proposal. You can propose a talk, workshop or lightning talk.
Form 💟 https://forms.gle/1gvQi1sFJxm2VEKr7

💙 💚 Sponsor the open source community
Host an event at your company or provide some delicious food or snacks for our tech community attending our world class events 🍬 🍭🍿 Please fill out the form here 💟

💙🌎 NumFOCUS 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific projects for Data Science, including: Pandas, NumPy, Julia, Scipy, Sympy, scikit-learn, R and many more!

NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world.

♥️🚀 The Apache Software Foundation - Software for the Public Good
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Spark has a thriving open source community, with contributors from around the globe building features, documentation and assisting other users.