HeyJaredThe Dark Side of Data
An ex-Meta lead’s raw, sarcastic guide to surviving and thriving in Data Engineering.
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- Sep 15, 2026
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- Jul 23, 2026
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Where stability meets innovation and proves you don't have to choose (opens the original)
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Can’t be more excited to share this conversation with .What caught my attention is the fact that Data Engineering organizations can actually deliver on both: reliability AND innovation. It doesn’t have to be constant firefighting, a lack of recognition, or shaky foundations.Thanks for reading The Dark Side of Data! Subscribe for free to receive new posts and support my work.<form class="subscription-widget-subscr
What? Data Quality Issues? Since When? (opens the original)
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Everyone knows Data Quality matters - few actually deal with it in practiceYou spend hours ensuring data is correct - running checks, setting up monitoring, and tracing lineage - all so the final numbers look pristine. You dig endlessly into the meaning of the columns, asking why values repeat, why formulas break, or why there are so many gaps.Yet, no one makes your life easier.Thanks for reading The Dark Side of Data! Subscribe for free to recei
How to Perform Open‑Heart Surgery While Running a Marathon (opens the original)
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Broken PromisesI sometimes get genuinely sad when I read books about data modelling, governance, or any of the “best practices” that promise clarity and order. Or maybe it’s not sadness - maybe it’s irritation. Probably both.Why am I so dramatic you ask?Because everything in those books is so shiny and straightforward. They assume a world where data arrives neatly structured, where business processes are coherent, and where stakeholders patiently wait for you to design the perfect model. You rea
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