u/nigelwiggins

I have a dining room table that doubles as my office space. I’m looking for ways to upgrade it to make it easier to put away when I have guests over.

Maybe wireless peripherals would give me the most bang for the buck in terms of ease of setting up and putting away?

Is a keyboard tray worth it? Are there ones that double as storage?

Are there monitors that are larger than the portable ones but take up less space than the standard ones?

130 terminations :( One two minute Teams meeting

Is it common to get acquired and then gutted? Why not lay off during the transition? Seems like it avoid a lot of paperwork to simply not extend transfer offers instead of terminating after acquiring.

Just feel like shaming Constellation Software

If not, what other nodes offering pairing without their own router? I don't want to buy a router if I don't have to, even if it's better.

I got a 5 and 3 year old. I value convenience overall I’ve personally done the SF tourism attractions before so I don’t mind if I skip them with my kids. What’s a good playground?

Hitachi Vantara sold it to Constellation Software. It’s not a secret. All the account managers and sales guy will talk about it. But they also say there’s no press release incoming, which is weird, right?

As a counteroffer, they lowered my bonus by $2k and upped my base by $5k. I didn’t ask why. I just signed it but I can’t stop thinking if it’s a mind game

Job A: 109k with 20% bonus. Company A was recently acquired so there’s no historical data about bonus payout with the new management.

Job B: 115k with 3% bonus. Benefits are comparable to Job A, so just comparing salary here

FWIW, Company B is an average data center company. Company A is a legacy product in a dying industry, no code low code ETL space. I have 11 years experience with Company A though. Does that lower my layoff odds? Would it be foolish to give the bonus and seniority?

There must be people that automate their investments, tune out the noise, barely check their portfolio, but one day realize they are millionaires. Do you exist? Are you reading this? Please inspire us

Or become an entry level data engineer with a more mainstream stack for $100k?

I assume learn SQL and Python? Any other language? Any concepts that I need to constantly refresh myself with that the no-code low-code software abstracts away?

I don’t mean when do you think you are too old. I mean when do employers think you are too old. I’ve reached coast fire and want to try doing data analysis or data engineering at a non profit. Are they less ageist?

I know the market’s tough. I’m currently employed in a data adjacent field ish. It’s about 1% of my job. The rest of it is software implementation and training in data analytics and data engineering software