Global Feature Store: Optimizing Locally and Scaling Globally at Delivery Hero // MLOps Podcast #263 with Delivery Hero's Gottam Sai Bharath, Senior Machine Learning Engineer & Cole Bailey, ML Platform Engineering Manager.

// Abstract
Delivery Hero innovates locally within each department to develop MLOps practices most effective in that particular context. We also discuss our efforts to reduce redundancy and inefficiency across the company. Hear about our experiences in creating multiple micro feature stores within our departments, and our goal to unify these into a Global Feature Store that is more powerful when combined.

// Bio
Sai Bharath Gottam
With a passion for translating complex technical concepts into practical solutions, Sai excels at making intricate topics accessible and engaging. As a Senior Machine Learning Engineer at Delivery Hero, Sai works on cutting-edge machine learning platforms that guarantee seamless delivery experiences. Always eager to share insights and innovations, Sai is committed to making technology understandable and enjoyable for all.

Cole Bailey
Bridging data science and production-grade software engineering.

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// Related Links
Website: https://www.deliveryhero.com/

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Connect with Sai on LinkedIn: https://www.linkedin.com/in/sai-bharath-gottam/
Connect with Cole on LinkedIn: www.linkedin.com/in/cole-bailey

Timestamps:
[00:00 ] Sai and Cole's preferred coffee
[00:42 ] Takeaways
[01:51 ] Please like, share, leave a review, and subscribe to our MLOps channels!
[02:08 ] Life changes in Delivery Hero
[05:21 ] Global Feature Store and Pandora
[12:21 ] Tech integration strategies
[20:08 ] Defining Feature and Feature Store
[22:46 ] Feature Store vs Data Platform
[26:26 ] Features are discoverable
[32:56 ] Onboarding and Feature Testing
[36:00 ] Data consistency
[41:07 ] Future Vision Feature Store
[44:17 ] Multi-cloud strategies
[46:33 ] Wrap up