Eddy Zulkifly is a Staff Data Engineer at Kinaxis, building robust data platforms across Google Cloud, Azure, and AWS. With a decade of experience in data, he actively shares his expertise as a Mentor on ADPList and Teaching Assistant at Uplimit. Previously, he was a Senior Data Engineer at Home Depot, specializing in e-commerce and supply chain analytics. Currently pursuing a Master’s in Analytics at the Georgia Institute of Technology, Eddy is also passionate about open-source data projects and enjoys watching/exploring the analytics behind the Fantasy Premier League.

In this episode, we dive into the world of data engineering and FinOps with Eddy Zulkifly, Staff Data Engineer at Kinaxis. Eddy shares his unconventional career journey—from optimizing physical warehouses with Excel to building digital data platforms in the cloud.

🕒 TIMECODES

0:00 Eddy’s career journey: From supply chain to data engineering

8:18 Tools & learning: Excel, Docker, and transitioning to data engineering

21:57 Physical vs. digital warehousing: Analogies and key differences

31:40 Introduction to FinOps: Cloud cost optimization and vendor negotiations

40:18 Resources for FinOps: Certifications and the FinOps Foundation

45:12 Standardizing cloud cost reporting across AWS/GCP/Azure

50:04 Eddy’s master’s degree and closing thoughts

🔗 CONNECT WITH EDDY

Twitter - https://x.com/eddarief

Linkedin - https://www.linkedin.com/in/eddyzulkifly/

Github: https://github.com/eyzyly/eyzyly

ADPList: https://adplist.org/mentors/eddy-zulkifly

🔗 CONNECT WITH DataTalksClub

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