These are only partial answers that I have added
Thanks

😲 99% of SQL learners struggle with this problem!
You get a Club table where each member earns rewards like:
MM, CI, CO (0.5 pts each) CD, CL, CM (1 pt each)

💥 Challenge: Calculate the total points scored by each club using SQL. Sounds simple? Wait till you try it. 😏
Most people miss the key logic 👀
Can you crack it before watching the solution?
🎥 Full breakdown + solution:
👉 SQL Challenge: Calculate Total Club Points | SQL Interview Question Explained
https://youtu.be/V-mMZ4hhhQE

#SQL #SQLChallenge #DataEngineering #SQLInterview #LearnSQL

🚀 How to Become a Better Data Engineer

You don’t become a better Data Engineer by memorizing tools. You grow by thinking like one.
Start doing this daily:
🔹 Understand why data flows the way it does 🔹 Break problems into clean, logical steps 🔹 Write SQL that’s simple, not “smart” 🔹 Learn one new thing every day — even 10 minutes counts 🔹 Build small projects that feel real, not theoretical 🔹 Read other people’s code (it teaches more than tutorials)
Consistency beats complexity. And the engineers who win aren’t the ones who know the most tools — they’re the ones who know how to solve problems calmly and clearly.
Keep going. You’re closer than you think 💪

🚀 Coming Soon: The Biggest SQL Practice Marathon!

I’m recording a full SQL session where we solve 50+ real queries using one powerful dataset — joins, windows, analytics, aggregates… everything.

If you’ve been wanting one video to level up your SQL for interviews + real projects — this is it 🔥

Stay tuned — this is going to be the ultimate SQL practice video💪
— SQL Junction 📊

🚀 Level up your SQL game!

I’ve created a YouTube playlist where I break down real SQL interview questions just like top companies ask.
From tricky joins to logic-based challenges… everything is covered in simple, clear explanations 🎯

Whether you’re preparing for interviews or just sharpening your skills, this playlist will help you upgrade fast 💡

Check it out here 👇 👉 https://youtube.com/playlist?list=PLU1HobJd_JCqjcZwUCc6s8avJutoIjyIF&si=pcJTwrke6No-SVyl

Let’s crack SQL interviews together! 🔥 #SQL #SQLInterviews #DataEngineering #LearnSQL

🚀 New SQL Hard Challenge is LIVE!

Today’s problem looks simple… until you try it 😅
You’re given a table of products and categories — and your task is to swap records inside each category using SQL window functions.

Most people get stuck on the logic 👀
Can YOU figure out the right approach before watching the solution?

🎥 Watch the full video here:
👉 DELOITTE HARD SQL Interview Question in Hindi | Swap records Inversely

https://youtu.be/jOrTXXleDcg

If you’re preparing for SQL interviews or just love brain-teasing SQL problems, this challenge is for you 🔥

#SQL #SQLChallenge #DataEngineering #SQLInterview #PracticeSQL

Reposting this

Freelance opportunity

I need some one who has solid experience in Google BigQuery

The ask is to create a data ingestion pipeline

Will discuss more details in individual connect regarding payout for this job and specific task details.

Please ping me on linkedin ,if you are interested to learn and grow
These kind of opportunities give a lot of learning that helps you stand apart from the crowd.

Please ping me on LinkedIn
linkedin.com/in/adityabansal095

🚀 Just shared a super useful post for anyone preparing for Data Analyst roles — especially Deloitte!

I broke down a fresh interview experience covering: • SQL scenario-based questions • Power BI practical problems • Behavioral questions you
should be ready for

If you're aiming for Deloitte or any top-tier data role, this will give you a clear idea of what to expect 👇

https://www.linkedin.com/posts/adityabansal095_deloitte-deloitteinterview-big4interviews-activity-7399760164922388480-DjaP?utm_source=share&utm_medium=member_ios&rcm=ACoAAB8c2Z8Bcu4nHPJW24bZAavnMChCO7Q0wCQ

#SQL #DataAnalyst #PowerBI #InterviewPrep

Hello Data Engineers

I am glad to announce that I was able to fill this position
from this channel.

When I started this channel, I just thought that this channel was about data community and knowledge.

But in the recent months,I have been able to hire multiple talented people from this channel.

I want to thank you all for being a part of our data community

Hey engineers
#jobalert #jobopportunity #dataengineer

Urgent job opportunity

I know the founder of this company ,please let me know if anyone is interested

https://www.linkedin.com/feed/update/urn:li:activity:7392504066435776513


Ping me over linkedin
Linkedin.com/in/adityabansal095

Hey Folks
#jobalert #jobopportunity #jobopening


https://www.linkedin.com/posts/aparna-anumandla-220408244_greetings-from-innova-solutions-were-activity-7404481005354442752-aZtG

This is my previous organisation
If anybody is interested ,can get you referred
Please ping me on linkedin

🎯 New SQL Interview Question on YouTube!

A real Deloitte Interview Question that tests: • Window functions • Logical thinking under pressure • Your ability to connect dates correctly 📅⚙️

DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
https://youtu.be/ZPcV0OmSaIo

Most candidates struggle here… Can YOU solve it? 🤔
Watch now 👇
🔥
#SQL #InterviewPrep #DataEngineering #LearnSQL #SQLServer #Programming #SQLPractice #TechInterview #YouTubeChannel #SQLCommunity #SQLJunction #AdityaBansal

🚨 Paytm Data Engineer Interview Pattern (4+ YOE | ~20 LPA)

If you’re preparing for a mid–senior Data Engineer role, Paytm keeps testing the same core patterns again and again.

They focus heavily on: • Advanced SQL (window functions, latest record logic) • Spark & PySpark performance • Data skew & slow job debugging • Idempotent and incremental pipelines • Real-world data quality & schema drift problems
These aren’t trick questions — they test how you think in production scenarios.
🔁 Share it with someone preparing for DE interviews 💪 Prep smart, not random

Transient table do not have any fail safe period in Snowflake for cost effective ness ,they are used to store less critical data that does not require data backup from
Fail safe point of view

So the correct answer is Option C

🎉 Happy New Year, SQL Family! 🎉
As we wrapped up 2025, I just want to say thank you 🙏
From learning SQL basics to discussing real interview and production scenarios — this journey has been amazing because of you.

Your reads, reactions, and discussions make this channel what it is 💙

In 2026, expect:
🚀 More SQL interview questions
🧠 Deeper data engineering concepts
⚙️ Practical, real-world patterns
Let’s keep learning, sharing, and growing together.
Wishing you all a year full of growth and success! ✨

🚀 SQL SET Operators: The Quick Guide 🚀
Stop trying to solve everything with JOINs! If you need to combine data vertically, these are your best friends:
🔹 UNION Combines results and removes duplicates. Perfect for a clean, unique list. 🧹
🔹 UNION ALL Combines everything, including duplicates. It's much faster because the DB doesn't have to scan for duplicates! ⚡️
🔹 INTERSECT Finds the common ground. Only returns rows that exist in both datasets. 🤝
🔹 EXCEPT / MINUS The "difference" finder. Shows what's in your first query but NOT in the second. 🚫

💡 Pro-Tip for Interviews: Always remember: For SET operators to work, your queries must have the same number of columns and matching data types!

https://www.linkedin.com/posts/adityabansal095_i-used-to-think-sql-joins-were-the-only-way-share-7414127739210797057-plAi


#SQL #DataScience #Database #CodingTips #DataAnalytics #InterviewPrep #TechSkills #SQLServer

The correct answer is Union all
This is a really common interview question just to check basics
Union all is faster that union because it does not sort or deduplicate data.📈

FAANG SQL Challenge: Can you solve "The Delimiter Trap"? 🧩

I just dropped a new breakdown of a classic interview problem that trips up even Senior Data Engineers.

The Task: Extract and calculate reward points from a single "messy" column (e.g., `'MM:CI:CD'`).

Why you should watch:
✅ Learn the cleanest way to use STRING_SPLIT.
✅ Master Conditional Aggregation (no more spaghetti code!).
✅ Avoid the #1 over-engineering mistake candidates make in FAANG interviews.

Stop struggling with messy data—master the logic in 5 minutes.

Watch the full solution here:
👇👇👇
https://youtu.be/Pg5F8_ViXE8

Which one is faster for this—`STRING_SPLIT` or CROSS APPLY? Let me know in the YouTube comments! 🚀

#SQL #InterviewPrep #DataEngineering #SQLJunction #SQLInterview