DSA for 15+ experienced

I am not sure but how every influencers have faced everything in their life. From being yelled by professors in front of whole class to going on foreign trip for first time after they became an influencer. And all influencers are from tier-3 college, and everyone think going to college is waste and everyone needs to do remote jobs and leetcode. PS: also saw an influencers who wrote he traveled by train for first time in life in 2022 (his 4th year of college)

I am an engineer working in Deloitte. Overall Exp 6.5yrs. My tech stack include Python, Data Science & AI-ML and GCP. I wanted to give it a try for product based company. I am not sure from where should I start? Just a little bit of guidance will really going to mean a lot to me. I come from a civil engineer background and I have reached Deloitte through lot of struggles. But I think I can reach further with some help. Need a dronacharya in this kalyug 🙂 Thanks in advance.

Hey SDEs and techies out there, plz give me an info. I have been consistently practicing DSA for the past 4 months , I have solved around <200 problems. Now when can I consider myself an interview ready? I can understand that "mere count" doesn't matter, but as an employee/hiring manager/Recruiter how much of Leetcode (say 3000+/500+ problem) will attract you to check out the profile/give referral/get interested in? What else will you look out for in a candidate with 2YOE? Your insights will be valuable. Thanks a ton

I am a JAVA backend dev, currently in TCS with 5.5 yrs of exp. I want to switch to a Product now. My dev skills are good. I have worked in few projects. With this many years of exp, the expectations are too high now, System Design, Kafka, Jenkins, Docker and DSA on top of that. I don't know how to start, once I start preparing DSA I feel like I am missing on reading system design and other stuff. Also, I don't feel confident about my DSA skills. Are there any devs here who were very bad in DSA but are very confident now. Please share your experiences in comments. Since I already have so many years of exp, this is my last chance to switch to a good product company. Please guide.

I am currently pursuing my Master's in Computer Applications from GGSIPU, Delhi. Our placement session is about to start in a month. The average placement in our college is 4-5 Lakhs. I love web development and have built a few full-stack projects too. Now I am confused about what I should do. Should I improve my web development skills and apply for development roles off-campus, or should I work on DSA and focus on the campus placement? I am confused because currently.

I just think we should skip DSA rounds for existing FAANG employees. I understand the importance of DSA rounds and is pretty much required for SDE 1 roles as their major work is to code. But for higher levels, it starts becoming less and less relevant and pointless. In most companies DSA is to understand the basics of the candidate, can they write code, explain the problem and thought process. Now most FAANG interviewers look for the same thing. Now once I have cleared one that means I have proved myself to be someone who meets the bar, doing it again is just like "Well, have you continued grinding leetcode after getting the job". You can check design competencies, problem solving in design, mentoring etc. but why ask DSA and go through that gruelling interview process. Your thoughts?

Any DSA solvers? First time solving DSA and preparing myself to switch to better product based companies for higher package. My question is: When I solve LeetCode, I am able to understand the question, come up with initial approach too but without looking into solution or explanation I am unable to solve it completely!😢 while watching a Youtube videos I am perfectly able to understand and solve the problem but when I solve a problem alone(without any resource) or live solve in mock interviews, I am stuck.. Anyone's gone thru the same phase, how to uplift myself from here? TIA

I am currently working as a front end engineer (ReactJS) in an Indian Service based company. I have a pretty solid front end knowledge. My end goal is to be a full stack developer. So I was about to start backend engineering. But also I want to switch to a nice product based company (end goal is ofcourse MAANG type company). Currently I have 1+ years of experience. It's not like I don't enjoy DSA, I enjoyed Development over DSA. My DSA skill is very basic for now (I know arrays, hashmap, two pointers thats all) So My question is when to start DSA? Because If I start DSA now then I need to at least give 1 year to DSA. But then I will not be able to do Backend. Most people also say not to do dev and dsa in parallel. So suggest something to me. Should I do Backend first then do DSA or Should I do DSA then do dev Or should I do both at the same time?? I know I need to invest 3 to 4 hours daily if I need to be a full stack engineer with strong DSA skill. I am ready to be in discipline.

I will be using a scale of 10 for better quantification. Python : 7/10 SQL: 7/10 PowerBI: 9/10 ML(Pandas): 6/10 PLSQL: 6/10 Advanced Excel: 8/10 Azure Databricks + DataFactory : Started learning Apache Spark: Started learning Communication skills: 9/10 Prior Work Ex: 1.8yrs as a PLSQL developer (started off as a fresher) + one SAP internship of 4months + one Data analyst internship of 1 month Aspiration : Data Engineering Role 1. Is the above techstack enough to get me a good data engineering role? Will I be able to clear the technical rounds at companies like accenture, IBM etc with this profile? I have heard the barrier to entry for data engineering is higher than that of data analyst. 2. Do I need to learn DSA? 3. What salary range do I fall in with this profile? I seek your honest answer. I feel lost. Also, should I focus more on improving my cloud skills or shall I be more competent with my python skills? Which one would pay me off in a better sense financially? I certainly can not focus on all the tools at once.