danwolff

  Location: Mountain View, California
  Remote: OK
  Willing to relocate: Yes
  Technologies: Pythonic ETL, basic Python, SQL, databases (e.g. Athena/Trino/Presto, Glue, Hive, Postgres, RDS), GNU/Linux fundamentals, shell scripting, general engineering sense
  Résumé/CV: https://danwolff.net/dw-resume-yc.pdf
  Email: [email protected]

I have been a professional data engineer/person for ten years. I have seen some stuff in both small and large companies. I try to do things well.

The startup I was with for over a year sadly had to let a bunch of core staff go about one month ago. So, I am currently available full time. Do you need a solid person to help with your data or related activities?

(As an aside, I also have a serious appreciation for "real hypertext" in the sense of Paul Otlet, Ted Nelson, and Doug Engelbart, in case that happens to resonate with your organization's ethos.)

IMHO Workplace was a fantastic product that filled a gap that is really is not filled by anything else today (although a lot of other tools might seem similar).

Probably, most people had and still have no real idea of the product's existence. And once people do learn of it, they still really have no idea what this kind of product can do for orgs (that is, how they could really use it).

I have to think that some of the magic comes from having an org and people in the org who know how to use such a tool?

It seemed an honest shot at really improving orgs based on communication and I was pretty jazzed about it. The remaining options are seem far sub-par in some ways (even if features look/seem similar, the overall gestalt is not the same IMO).

Earlier at: https://news.ycombinator.com/item?id=40357250

  Location: Mountain View, California, USA
  Remote: OK
  Willing to relocate: Yes
  Technologies: Pythonic ETL!  (Basic Python, SQL, databases [Athena/Trino/Presto, Glue, Hive, Postgres, RDS], GNU/Linux fundamentals, shell scripting, general engineering sense)
  Résumé/CV: https://danwolff.net/dw-resume-yc.pdf
  Email: [email protected]

I am a STICKLER for HIGH QUALITY and WELL-WRITTEN, READABLE, and EXPLICIT classic-style data pipelines. This comes from a large dose of Dataswarm experience, and now a decent amount of recent Airflow (MWAA) experience. Can you tell that I am passionate about Pythonic ETL/Dataswarm/Airflow? If you need to make Pythonic data pipelines happen, at any stage of maturity (no data infra to huge data infra), I have a feeling that I could help, and we might just both enjoy talking!

I just came back on the market TODAY, in fact.

(Note: The above is fairly specific and technical, and is tailored for the chance that you know what you want and that there might be an obvious possible match. If you have more general or related needs, then my broader capabilities may apply, too, of course. Thus, please feel free to send an email if you suspect a fit but don't see it spelled out per se. Still, if the above strikes a chord, then that's potentially phenomenal, too.)

  Location: Mountain View, CA
  Remote: Yes, preferred (Onsite/hybrid also works; onsite could be awesome, too.)
  Willing to relocate: Yes (Anywhere is great! Especially interesting appear to be: AZ, ID, MO, ND, OK, TX, UT)
  Technologies: Python, Bash, SQL, GNU/Linux and associated utility basics, Pythonic ETL, basic HTML/CSS, Meta/Fb internal data tools
  Résumé/CV: https://danwolff.net/dw-resume-yc.pdf
  Email: [email protected]

OVERVIEW: My main experiences in industry have been in data at social media. I had a small background in design engineering before that. All the while, I have nursed a 15-year side-saga in logical communication interfaces.

WHAT I BRING: I have both big and startup tech experience. I have done consulting and FTE work, and love both. I have a significant driving passion for technology as a potential aid for people, particularly real hypertext as applicable to helping people through IA in the Otletian/Nelsonian/Engelbartian sense.

ALSO OPEN TO (FOR CLARITY): While my main background has been solidly data engineering, I am also very open to adjacent/interesting work. (For instance, someone once said that everyone should do software sales for a while, and while I would be green at it, I would be very open to considering ideas like this.)

STORY: Broad startup layoff within past month--energized about finding an awesome fit to help out!

Oneslate [0, 1] was designed for decision augmentation. Certainly curious to hear if the Oneslate system applies to your method/software search to aid in more efficient decision making. Full bias disclosure: I designed Oneslate.

[0] http://danwolff.net/platforms/oneslate.html [1] https://www.youtube.com/watch?v=6glmwOd9Lsc&list=PL8DgRr1QpM...

You can run a NLS/Augment in the emulator made available by the Computer History Museum, I think. I did. It was fun.

Why not talk to people who would nearly immediately appreciate your app's utility?

Why not talk to people who would find its utility obvious?

Obviously, light pollution is the best kind because it goes away within minutes of turning off the source. Who the fuck cares about this.

Corporate site: http://oneslate.com.

Not sure if you can see the "text" above, but 1Slate is a free public forum offering a uniquely simplified and (IMO) elegant "real hypermedia" implementation.

There is utility in the relatively simple N-way linking with tranclusion (reuse objects) and in-context autosuggest, consistent edge meaning (support), 5-bin statistics, unlimited private collaborators, etc.

What do you think? Does this speak to ANYONE?

You could use Kdenlive, "a free and open-source video editor for GNU/Linux and FreeBSD" [1] [2].

[1]http://www.kdenlive.org [2]http://www.youtube.com/watch?v=1eHEAfNFJ0k

The colon at the end of the first line was intended to map the first text string to the last text string of my original post. So, you're right, and sorry for the confusing grammar.

Subsonic, but more ping pong wreckage since it's on topic:

http://danwolff.net/archive/pingpong/

And both are higher than Goldman Sachs' revenue.

Do it. Easily the easiest $7k I ever made was the result of a (carefully crafted but not difficultly formulated) 60 second email requesting more money in response to the engineering job offer that I accepted out of college.

Remember to include some examples of why you deserve it--this way, the hiring agent can use the same reasons to make an easy decision.

When categorizing information, it is possible to recognize personal opinions as such and handle it appropriately.

Uneducated conjecture: They're not just any floating points, they are doubles. You need twice the capacity of one (32-bit double) in order to fake 64 bits. I assume that this helps meet the requirements of other pieces being hacked together.

"NaN-tagging: 64 bit tagged values are used for stack slots and table slots. Unboxed floating-point numbers (doubles) are overlayed with tagged object references. The latter can be distinguished from numbers via the use of special NaNs as tags. It's a remote descendant of pointer-tagging.

[The idea dates back to 2006, but I haven't disclosed it before 2008. Special NaNs have been used to overlay pointers before. Others have used it for tagging later on. The specific layout is of my own devising.]" [1]

[1] http://article.gmane.org/gmane.comp.lang.lua.general/58908

Actually, the probability is 0 or 1; she exists. Right? Stats anyone?

Inventables a University of Illinois startup.

If you play with several dozen of their materials, you will get several product ideas, some olf which may even have markets!

I think they are trying to provide value through all the normal ways an online reseller would, with a bent for the entrepeneurial inventer market.

At least that'd the impression that I get. For large quantities I would hazard the guess that no party misses out on the pie.

Are you saying that you can't understand why Twitter's services provide an incentive for you to be online all the time?

Users with highest average comment scores get grayish orange (Feb 4).

http://ycombinator.com/newsnews.html

http://hubzero.org is just a suggestion. See the nano science implementation at nanohub.org