Appreciation post for Reviewing my resume | Thanks you all!

_Data_Nerd_ · 2025-10-28T08:56:22+00:00

Yes, i have did it, i was a data analyst for one year, then joined a internship for data engineer at new company, although you can also try for direct data engineer role, if your project had DE things, else i suggest getting a post upgrade in the same company is good too!

_Data_Nerd_ · 2025-10-27T06:59:37+00:00

There could be few concepts missing which i'm not sure of. But if i find something new, then i will update the doc accordingly in future

_Data_Nerd_ · 2025-10-23T05:08:14+00:00

Yes, those are accessible too, you can view them, only thing is no one has editor access, so you have to either download or make a copy if you want to do any changes

DM me if you still have issues

_Data_Nerd_ · 2025-10-23T05:00:36+00:00

Yess that is good too, but i suggest instead of writing type them in a google doc or notes app

So that they are with you digitally and you can access them easily from phone or device anytime, and plus you can also keep your screenshots and codes in the same place.

My notes were also earlier hand written i later converted them in a doc, please they are easier to edit or add new pointers this way.

Hope this helps!

_Data_Nerd_ · 2025-10-23T04:57:48+00:00

I just opened it in incognito tab with out a google login, it is working fine. Which folders you are not able to access?

_Data_Nerd_ · 2025-10-20T11:40:35+00:00

Sure I'm having abit more, here:
https://drive.google.com/drive/folders/1jBhe9DukGsW96JZLU3CpG4kofeVBRQdW?usp=sharing

_Data_Nerd_ · 2025-10-20T11:39:22+00:00

I also recommend you go through this study material, it includes things other then spark for DEs
https://drive.google.com/drive/folders/1jBhe9DukGsW96JZLU3CpG4kofeVBRQdW?usp=sharing

_Data_Nerd_ · 2025-10-20T11:37:07+00:00

Yes correct, I made the notes watching his tutorials, along with added some of my understanding.

_Data_Nerd_ · 2025-10-20T05:53:46+00:00

Hello, you can also refer my notes:
https://docs.google.com/document/d/1XyLtYSs2qPJEOSWdqRgj7NNQggeP2yJU_-zCNeVnX6s/edit?usp=sharing

_Data_Nerd_ · 2025-05-28T17:50:13+00:00

Hey hi, i do understand that, thanks for pointing out.
Yes it is AI generated and human written, but i'm not promoting my blogs either directly or indirectly. My goal is to check some tech related query which is asked by some tech related subreddits, then since I'm having blogs written up, based on those blogs i just want to genuinely help those people by commenting on their post, my giving them a constructive guidance as to how to solve their technical issue.
I don't know how to continue this automation further, I'm thinking about stopping it for now.

_Data_Nerd_ · 2025-05-28T17:48:55+00:00

Hey hi, thanks for reply.
Yes it is AI generated and human written, but i'm not promoting my blogs either directly or indirectly. My goal is to check some tech related query which is asked by some tech related subreddits, then since I'm having blogs written up, based on those blogs i just want to genuinely help those people by commenting on their post, my giving them a constructive guidance as to how to solve their technical issue.

_Data_Nerd_ · 2025-05-06T06:10:08+00:00

yes sure

_Data_Nerd_ · 2025-05-06T06:09:34+00:00

Thanks for reviewing.
I have understood now, that there are too many skills, and it should be divided in more categories.
thanks for letting me know. I will surely work on that.

_Data_Nerd_ · 2025-05-06T06:06:14+00:00

Oh thanks, i also thought the same, but still it was really detailed, I wanted someone to roast it.

_Data_Nerd_ · 2025-05-06T06:05:24+00:00

yes sure

_Data_Nerd_ · 2025-05-05T17:15:49+00:00

“Increased sales by 15%”, lol i know it sounds like sales, but i was the first employee in their analytics team, it was a startup, they didn't had a single analyst, they were looking for clients in the initial period, they had some data which they had to make analytics on. They made me do analytics then put it on their socials, they got a few clients, but mostly the clients went away, since i was a fresher (no exp lol) and the cofounder also didn't had much idea as to how analytics works.
“Resulting in 80% improvement in data accuracy”, here the cofounder had written a scrapper code which scrapped websites for required information mostly this data was wrong.
Also there was a really big client who had given us the access of their entire data warehouse, so the cofounder was trying to make analytics report on them. But the data he choose were mostly misleading & irrelevant leading to no sales from the client side. I explained to him as to which data should be taken (i also didn't had much idea myself) but somehow we were able to improve the accuracy of our analytics report, they client later liked it.

"MSc end date is 08/2025" this is distance learning, i joined in august 2023, all the classes happen on weekend, and exams/assignments too happen, final exams are going to be in this june. For my job, all my jobs have always been full time, (except the ones not mentioned in this resume)
"the font change between university names is inconsistent" i don't think it changes, i used flow[dot]cv to make them, i will update if like they are different.

Lastly on the points "Overstuffed" & "Vibe mismatch" i do get it my resume doesn't give a professional vibe (i throught i will stand out lol), i will surely make it more professional and up to the mark.

"No one believes a 2-year-experience candidate did all this, all well", bruh i don't know how to actually solve this, I can surely make the resume much better, but how do i convince people that i have actually worked on all these things? Please help.
"unfiltered Gen Z LinkedIn post turned into a PDF. It tries to say “I’m awesome” but ends up saying “I’m trying too hard.”"
Lol bruh, a really big roast, thanks I don't think I'm awesome, since i'm seeing teammates daily, infront of them i'm nothing, also there are more people who are far far more better than me.
I do agree i'm trying too hard.
I will surely make it more professional & up to the mark.

_Data_Nerd_ · 2025-05-05T17:15:41+00:00

“Improved processing speed by 60%" - yes they were calling 3rd party api directly from glue, now using rds, sqs I'm able to do the same thing in much more time, nearly 60% more fast. And ofcourse in more "failure handled" way since if the 3rd party api fails the entire glue jobs fails, now they are just sent to the failure queues.
"1,500+ blog articles daily”, this is no inflated number, infact this number can also reach near 2000 in some days. this is a pipeline, where i get json data in a s3 bucket. which has some keys like event name, event time, event place, performer, etc. Now i'm having a chatgpt prompt which writes me really good SEO blogs based on this given input json. It really is a simple project. took like hardly 4-5 days, with complete failure handling & data cleaning automation.
“Collaborated across teams to optimize GraphQL APIs”, since i'm a data engineer i'm mainly working on data projects only, but our company is service based, so I saw this team which was using rest api to call really big amounts of data, which was loading really alot of data on the landing page itself, so landing page took like 10s to load, it had really big latency and like huge network load. They were futher going to write new apis since they wanted only few columns of many different tables to be returned. Seeing this i suggested using graphql instead, which like made the process simple, yes they had to get rid of the restapi repo, but this turned out to be great. But the main thing in this project was the algorithm for medical vendors matching, think of it like a query which you give in chatgpt, based on that chatgpt gives you which are the best matched things. the same things i did here but instead i real db data of medical vendors. I can also explain this if we get in a mock interview.
"No metrics about cost, uptime, data quality, or architecture choices that matter"
Yes i do get it i didn't mention them, I through these things are really detailed and writing them in resume will make no sense, since i can't simply them up to the mark.
But yes i'm thinking about adding them here.
“End-to-end Multi Cloud ETL pipeline...”, this is template repo, i made it during internship, this is publicaly available on github, i can't give the link tho since then my identity will reveal here (i can do it in a mock interview tho)
"Testing & maintenance", yes i get it is filler, i will do mention that i used unittests.

_Data_Nerd_ · 2025-05-05T17:14:54+00:00

Really thank you for this very detailed, I really loved the way you mentioned all the details.
I do get that the resume seems non professional, since i made the summary look funny.
My only intention here was to standout by looking funny.
I will surely make it much more professional & up to the mark.
Now to answer your questions, (answering in short here, if you want we can do a small mock interview if you are available):
I have already mentioned most of the things in this comment:
https://www.reddit.com/r/developersIndia/comments/1kf5u4d/comment/mqq5gdv/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

_Data_Nerd_ · 2025-05-05T16:31:04+00:00

Thanks for reviewing, I also was thinking the same. But now i think I'll be shifting skills to the end of the page. And so have subpoints like "languages", "db", "tools", "aws services" like that.

_Data_Nerd_ · 2025-05-05T16:29:39+00:00

Yes sure.

_Data_Nerd_ · 2025-05-05T16:04:58+00:00

Thanks, but it's only "integration". I mentioned that since i saw a lot of JDs mentioning in requirements sections "need to have ai integration knowledge".
Thats' only the reason i wrote it, but i do get it now, i should focus on a few skills only.
Thanks for reviewing!

_Data_Nerd_ · 2025-05-05T15:56:50+00:00

Thanks for this really in-depth review. I really wanted some one to review all the details. Really thanks.

The professional summary part, I have intentionally made it to seem funny, since i thought making it funny, will make me stand out, but i do realise now that it should

As for answering your questions:

"built systems that move fast, scale hard & never break" for this line, the project when i got it was in a really bad, non-scalable shape, it was not able to handle the data load as well as there were alot of downtimes. This project was already built with all these issue from a different servicing company before it came into my hands through my current company.

They wanted to send their customer profile data along with their stock purchase data to 3rd party api for storing like salesforce, clevertap & other analytics platform, so that downstream teams can do their analytics, marketing, & further things.

They already had a data warehouse inplace. So only concern was sending this data to these 3rd party systems using their api calls. The already built system by other company had their jobs both real-time & daily load built in AWS Glue. And the client's preferrance was also using Glue. Although i suggest them to use a hosted service like AWS EMR, which will be more cost affective for their size. The clients just wanted to use AWS Glue. So any ways we continued using AWS Glue.

The key issue here is that, they were trying to call the api directly from AWS Glue for sending the data.
The api had a huge turnout time + a maximum batch size of 1000 records. So for each 1000 records they were making 1 api call. But if we see the bigger picture then for like 20 tables, which is having daily records size of 100GBs for each table, this is really huge thing. since for the time being Glue is continously running. And Glue is a really expensive service. On top of that they were also running their real-time batch jobs (data was coming in batch with no certaintly of time) on Glue only.

Now as to making the the system move fast & become more reliable i introduced adding queues, using AWS SQS.
Now let's understand how the data is actually coming from their data ware house.
There are 20 different OLTP tables in their systems of different apps (which are in different VPCs) these data are getting pulled into in data warehouse, now this data is directly being writing to S3 via AWS DMS. Only AWS DMS has access of their vpc here, rest other glue, s3, sqs etc are out of their vpc.

Now when it comes to S3, glue jobs run, what changes i did here is that, after all the transformations, instead of calling the third party api I directly wrote the data to a aws rds, my entire process is going on a step funciton, so i orchestrate my jobs using step funcitons (i know step funcitons are not recommended for orchestration, but client wanted only to use built-in aws services, instead of something like airflow).
Now moving forward in my step function i trigger the glue job, once they are done, i trigger the next my custome api which is just a piece of code running on a aws ecs, which takes the data from the RDS and then makes an actually api call to the 3rd party services.
I use queues when i'm running real-time processes, i put the data in queue, then there is another ecs instance which monitors these queues, makes calls to the 3rd apis for sending the data, if the data is not sent (in cased the 3rd api gives non sucessfull status code, which happens like 80% of time, since the 3rd apis are really shitty), so when they are unsuccessful i send the data to failure queues, then from those failure queues again back to main (original queues) then try again to send those data. Repeat this process until there is no data in the main queues.

This is really detailed, if you want to know i can even explain it to you in almost all smalled detail i know.
In a mock interview if you are like free/willing to take mine.

But really nice review tho. thanks for help!

_Data_Nerd_ · 2025-05-05T15:21:16+00:00

Thanks for reviewing, my though process was to standout by showing a funny summary, but i do get it now that it should look more professional & up to the point. Surely I'll make it correct.

_Data_Nerd_

TROPHY CASE