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Joined 1 year ago
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Cake day: September 6th, 2023

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  • Edit: this is from the perspective of a technical interviewer.

    I’ve done around 200 or so technical interviews for mostly senior data engineering roles. I’ve seen every version of made up code, terrible implementation suggestion and dozens of folks with 5+ years of experience and couldn’t wrote a JOIN to save their lives.

    The there were a couple where the resume was obviously made up because they couldn’t back up a single point and they just did not know a thing about data. They would usually talk in circles about buzzwords and Excel jaron. “They big data’d the data lake warehouse pivot hadoop in Azure Redshift.” Sure, ya did, buddy.

    Yes, they were “pre-screened”. This was one of the BIG tech companies.






  • To OP’s point, this guy DOES sound pretentious in a very writerly way. However, I felt just like him on my first cruise not too long ago. I reluctantly went with my girlfriend so I didn’t have to “make friends”… but the excess, the hard-working and undervalued employees, and the crowds were just as poignant obvious. The food was fine but not special, a point of disappointment after hearing so much about how great cruise food was. This was very late in the pandemic but the ship was all the way full and the price could have bought us a nicer trip by way of premium economy airline and 4-star hotel. I was one of maybe two or three people i ever saw wearing a mask. Still got covid. My hope is that I never have to go on another cruise.





  • I have a friend whose team uses Scrum as an internal auditor at a utilities company. Their audits are treated as epics while specific deliverables or findings are stories. After a few weeks of growing pains, he likes it a couple of years after implementation.

    Myself? I’ve had mostly bad experiences working in various IT and Dev roles both as a IC and team manager. Maybe it’s because I’ve been trained on using it, but I still believe in the methodology and blame greedy implementations. I see management/customers count or haggle points, sizes, or hours and it’s like staring down a speeding freight train.







  • This is extremely typical for Amazon corporate.

    They have the data because they ask (corporate) employees about their working experience constantly. I’m sure employees love the option to WFH. But they don’t like the data (typical) because they spent billions building cheap, crowded, loud office space around the world.

    So what do they do? They pull out the mantra, “Disagree and Commit”, which is Amazon manager speak for “shut up and do what I say.” Ironically, Disagree and Commit is actually “Have Backbone, Disagree and Commit” and is about finding alternative solutions or data when you think the company is doing the wrong things rather than keeping quiet.

    Amazon, like most American corporations is an oligarchy and it’s run terribly at the top with dire consequences for their employees, customers, and the world.