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
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
โค1
๐ Just shared a super useful post for anyone preparing for Data Analyst roles โ especially Deloitte!
I broke down a fresh interview experience covering: โข SQL scenario-based questions โข Power BI practical problems โข 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 ๐
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
I broke down a fresh interview experience covering: โข SQL scenario-based questions โข Power BI practical problems โข 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 ๐
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
โค2
SQL Junction
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.โฆ
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
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
โค3
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
#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
Linkedin
#bytepx #hiring #dataengineer #python #dbt #etl #snowflake #jaipurjobs #workfromoffice #careerchange #datacareers #techjobs #joinourteamโฆ
๐๐โ๐ซ๐ ๐๐ข๐ซ๐ข๐ง๐ | ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ (๐๐๐ข๐ฉ๐ฎ๐ซ | ๐๐จ๐ซ๐ค ๐๐ซ๐จ๐ฆ ๐๐๐๐ข๐๐)
BytePX Technologies is growing, and weโre looking for a Data Engineer to join our dynamic team!
If youโre passionate about building scalable data pipelines and crafting reliable data solutions, weโdโฆ
BytePX Technologies is growing, and weโre looking for a Data Engineer to join our dynamic team!
If youโre passionate about building scalable data pipelines and crafting reliable data solutions, weโdโฆ
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
#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
๐ฏ New SQL Interview Question on YouTube!
A real Deloitte Interview Question that tests: โข Window functions โข Logical thinking under pressure โข Your ability to connect dates correctly ๐ โ๏ธ
DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
https://youtu.be/ZPcV0OmSaIo
Most candidates struggle hereโฆ Can YOU solve it? ๐ค
Watch now ๐
๐ฅ
#SQL #InterviewPrep #DataEngineering #LearnSQL #SQLServer #Programming #SQLPractice #TechInterview #YouTubeChannel #SQLCommunity #SQLJunction #AdityaBansal
A real Deloitte Interview Question that tests: โข Window functions โข Logical thinking under pressure โข Your ability to connect dates correctly ๐ โ๏ธ
DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
https://youtu.be/ZPcV0OmSaIo
Most candidates struggle hereโฆ Can YOU solve it? ๐ค
Watch now ๐
๐ฅ
#SQL #InterviewPrep #DataEngineering #LearnSQL #SQLServer #Programming #SQLPractice #TechInterview #YouTubeChannel #SQLCommunity #SQLJunction #AdityaBansal
YouTube
DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
๐ฏ SQL Interview Challenge โ Can You Solve This?
In this video, we take a real-world problem involving event logs and use SQL window functions (ROW_NUMBER) to group consecutive records by date. This is a popular interview question used in top tech and dataโฆ
In this video, we take a real-world problem involving event logs and use SQL window functions (ROW_NUMBER) to group consecutive records by date. This is a popular interview question used in top tech and dataโฆ
๐จ Paytm Data Engineer Interview Pattern (4+ YOE | ~20 LPA)
If youโre preparing for a midโsenior Data Engineer role, Paytm keeps testing the same core patterns again and again.
They focus heavily on: โข Advanced SQL (window functions, latest record logic) โข Spark & PySpark performance โข Data skew & slow job debugging โข Idempotent and incremental pipelines โข Real-world data quality & schema drift problems
These arenโt trick questions โ they test how you think in production scenarios.
๐ Share it with someone preparing for DE interviews ๐ช Prep smart, not random
If youโre preparing for a midโsenior Data Engineer role, Paytm keeps testing the same core patterns again and again.
They focus heavily on: โข Advanced SQL (window functions, latest record logic) โข Spark & PySpark performance โข Data skew & slow job debugging โข Idempotent and incremental pipelines โข Real-world data quality & schema drift problems
These arenโt trick questions โ they test how you think in production scenarios.
๐ Share it with someone preparing for DE interviews ๐ช Prep smart, not random
๐1
How much fail safe period do Transient tables have in Snowflake?
Final Results
58%
7 Days
16%
1 Days
26%
Transient tables do not have any fail safe period
โค1
SQL Junction
How much fail safe period do Transient tables have in Snowflake?
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
Fail safe point of view
So the correct answer is Option C
๐ Happy New Year, SQL Family! ๐
As we wrapped up 2025, I just want to say thank you ๐
From learning SQL basics to discussing real interview and production scenarios โ this journey has been amazing because of you.
Your reads, reactions, and discussions make this channel what it is ๐
In 2026, expect:
๐ More SQL interview questions
๐ง Deeper data engineering concepts
โ๏ธ Practical, real-world patterns
Letโs keep learning, sharing, and growing together.
Wishing you all a year full of growth and success! โจ
As we wrapped up 2025, I just want to say thank you ๐
From learning SQL basics to discussing real interview and production scenarios โ this journey has been amazing because of you.
Your reads, reactions, and discussions make this channel what it is ๐
In 2026, expect:
๐ More SQL interview questions
๐ง Deeper data engineering concepts
โ๏ธ Practical, real-world patterns
Letโs keep learning, sharing, and growing together.
Wishing you all a year full of growth and success! โจ
โค2
๐ SQL SET Operators: The Quick Guide ๐
Stop trying to solve everything with JOINs! If you need to combine data vertically, these are your best friends:
๐น UNION Combines results and removes duplicates. Perfect for a clean, unique list. ๐งน
๐น UNION ALL Combines everything, including duplicates. It's much faster because the DB doesn't have to scan for duplicates! โก๏ธ
๐น INTERSECT Finds the common ground. Only returns rows that exist in both datasets. ๐ค
๐น EXCEPT / MINUS The "difference" finder. Shows what's in your first query but NOT in the second. ๐ซ
๐ก 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
Stop trying to solve everything with JOINs! If you need to combine data vertically, these are your best friends:
๐น UNION Combines results and removes duplicates. Perfect for a clean, unique list. ๐งน
๐น UNION ALL Combines everything, including duplicates. It's much faster because the DB doesn't have to scan for duplicates! โก๏ธ
๐น INTERSECT Finds the common ground. Only returns rows that exist in both datasets. ๐ค
๐น EXCEPT / MINUS The "difference" finder. Shows what's in your first query but NOT in the second. ๐ซ
๐ก 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
You need to combine two lists of customer IDs from two different tables. You want the fastest performance possible and you don't mind if some IDs appear twice. Which operator do you use?
Final Results
24%
UNION
2%
EXCEPT
74%
UNION ALL
0%
EXCEPT
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.๐
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.๐
FAANG SQL Challenge: Can you solve "The Delimiter Trap"? ๐งฉ
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:
โ Learn the cleanest way to use
โ Master Conditional Aggregation (no more spaghetti code!).
โ Avoid the #1 over-engineering mistake candidates make in FAANG interviews.
Stop struggling with messy dataโmaster the logic in 5 minutes.
Watch the full solution here:
๐๐๐
https://youtu.be/Pg5F8_ViXE8
Which one is faster for thisโ`STRING_SPLIT` or
#SQL #InterviewPrep #DataEngineering #SQLJunction #SQLInterview
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:
โ Learn the cleanest way to use
STRING_SPLIT.โ Master Conditional Aggregation (no more spaghetti code!).
โ Avoid the #1 over-engineering mistake candidates make in FAANG interviews.
Stop struggling with messy dataโmaster the logic in 5 minutes.
Watch the full solution here:
๐๐๐
https://youtu.be/Pg5F8_ViXE8
Which one is faster for thisโ`STRING_SPLIT` or
CROSS APPLY? Let me know in the YouTube comments! ๐#SQL #InterviewPrep #DataEngineering #SQLJunction #SQLInterview
YouTube
FAANG SQL Interview Challenge | Calculate Total Club Points
๐ฏ SQL Challenge โ Can You Solve This?
In this video, weโll solve a real SQL interview-style problem involving reward points and club memberships.
Table Create Statements:
Create Table Club (
Club_Id int,
Member_Id int,
EDU varchar(30))
Insert into Clubโฆ
In this video, weโll solve a real SQL interview-style problem involving reward points and club memberships.
Table Create Statements:
Create Table Club (
Club_Id int,
Member_Id int,
EDU varchar(30))
Insert into Clubโฆ
๐1
๐จ BIG SQL DROP INCOMING ๐จ
Iโm working on a 3-HOUR SQL + Data Analysis marathon where we solve 50+ real SQL questions on one powerful dataset โ end to end, no skips, no shortcuts ๐ช
If you want to:
๐ฅ level up SQL thinking
๐ฅ crack interviews with confidence
๐ฅ understand real-world data analysis
This video is for YOU.
Dropping soon on YouTube ๐
#SQLPractice #SQL #DataAnalyst #dataengineer
Iโm working on a 3-HOUR SQL + Data Analysis marathon where we solve 50+ real SQL questions on one powerful dataset โ end to end, no skips, no shortcuts ๐ช
If you want to:
๐ฅ level up SQL thinking
๐ฅ crack interviews with confidence
๐ฅ understand real-world data analysis
This video is for YOU.
Dropping soon on YouTube ๐
#SQLPractice #SQL #DataAnalyst #dataengineer
๐ฅ5๐1
๐ Itโs LIVE! The SQL Marathon is finally out ๐ฅ
Iโve published a 3-hour SQL + Data Analytics video where I solve 50 real SQL questions using one YouTube Analytics dataset โ step by step.
If youโre preparing for:
โข SQL interviews
โข Data Engineering / Analytics roles
โข Real-world SQL problem solving
This video will seriously level you up ๐ช
๐ Watch here: https://youtu.be/BmhKUI-PGrc
Let me know in the comments โ how many questions could you solve on your own? ๐
โ SQL Junction ๐
#DataAnalyst #SQLPractice #SQL #YouTube #SQLInterview #DataAnalytics
Iโve published a 3-hour SQL + Data Analytics video where I solve 50 real SQL questions using one YouTube Analytics dataset โ step by step.
If youโre preparing for:
โข SQL interviews
โข Data Engineering / Analytics roles
โข Real-world SQL problem solving
This video will seriously level you up ๐ช
๐ Watch here: https://youtu.be/BmhKUI-PGrc
Let me know in the comments โ how many questions could you solve on your own? ๐
โ SQL Junction ๐
#DataAnalyst #SQLPractice #SQL #YouTube #SQLInterview #DataAnalytics
YouTube
YouTube Data Analytics Project: 50 SQL Interview Questions Solved | 3 Hour SQL Marathon
In this 3-hour SQL marathon, I solve 50+ real SQL interview questions using ONE realistic YouTube Analytics dataset โ step by step, from basics to advanced analytics.
This video is perfect if youโre:
1) Preparing for SQL interviews
2) Learning Data Engineeringโฆ
This video is perfect if youโre:
1) Preparing for SQL interviews
2) Learning Data Engineeringโฆ
๐ฅ3
SQL Junction pinned ยซ๐ Itโs LIVE! The SQL Marathon is finally out ๐ฅ Iโve published a 3-hour SQL + Data Analytics video where I solve 50 real SQL questions using one YouTube Analytics dataset โ step by step. If youโre preparing for: โข SQL interviews โข Data Engineering / Analyticsโฆยป
How do you plan on spending this weekend?
Final Results
0%
๐ Party both days
29%
Party on Saturday and Upskilling on Sunday๐
14%
Watching Netflix
57%
Upskilling on both days
Career growth rarely comes from one big move.
It comes from showing up every day โ even when no one is watching.
โข Learn when itโs boring
โข Practice when progress feels slow
โข Stay consistent when results arenโt visible
Perseverance compounds quietly.
If you can stay disciplined for long enough,
your career will look very different by the end of 2026.
No hacks.
No shortcuts.
Just consistency.๐ฅ
It comes from showing up every day โ even when no one is watching.
โข Learn when itโs boring
โข Practice when progress feels slow
โข Stay consistent when results arenโt visible
Perseverance compounds quietly.
If you can stay disciplined for long enough,
your career will look very different by the end of 2026.
No hacks.
No shortcuts.
Just consistency.๐ฅ
โค2๐2