Welcome to my blog where I share my journey as a data engineer exploring the intersection of cloud technologies, artificial intelligence, and purposeful system design.
Here you’ll find practical insights from my AWS certification journey, experiments with agentic AI systems, and reflections on building technology solutions that matter.
For the past five years I’ve been intentional in my yearly goals, writing them down in markdown form and tracking them through the year. In the past few months I’ve added AI to my goal workflow.
An update after a few weeks about learning agentic AI, it’s been a fun journey and I’ve found some great resources
This morning I took the DEA-C01 AWS Data Engineer Associate Certification Test for the second time. I haven’t gotten my results yet, but am jotting down my thoughts on the second attempt
I recently posted on Linked In that I did not pass my AWS Data Engineer exam and I am overwhelmed by the positive response
This week, I’ve started a udemy course on agentic AI and I’m really enjoying it.
This past Friday I took the AWS Certified Engineer Associate Exam and my results came back as a failure
Today I joined a demo of the AWS Card Clash architecture design game available on AWS SkillBuilder
Since my last post where I expressed my concerns that my study efforts for the AWS Data Engineer - Associate Certification were not enough, I have taken more tests with mixed results.
I’m setting out on this journey, again, to become a better writer, learn, and hopefully help others along the way.
As I approach the exam date for the AWS Data Engineer Associate Certification (DEA-C01) exam, I’m having second thoughts about my chances of passing after a poor practice test score.
I’m reading the book Fluent Python because I want to level up my Python skills and really understand the language