NamasteSQL

Founder

Amazon Web Services (AWS)

Data Engineer III

Data Engineer II

Deloitte

Senior Consultant 2

Senior Consultant 1

Ness Digital Engineering

Lead Technical

IBM India Private Limited

Data Specialist- ETL Datastage

Infosys

Senior Systems engineer

SQL Guy, AWS, Tableau Certified , Data Modelling, DWBI, Machine Learning, Python,BI, ETL (Datastage/Informatica),Data warehousing , Unix scripting ,Product Development, SAP HANA, Supply chain analytics, pharmacovigilance.

Ankit Bansal

I think developers in 2025 are matured.


Even if tomorrow the definition of even odd changes and documented, there is no need to change the code 🤓🤓

Founder @ NamasteSQL.com | SQL Champion | YouTuber

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Look at this Data Engineer JD from Apple.
One of the biggest FAANG companies.


Just see how many times they’ve written SQL and SQL related skills.


People think every DE job needs Spark, Databricks, Azure, fancy architectures…

No.

A strong hold on SQL, Python, ETL and data modelling can still take you into top companies.

Don’t get distracted by buzzwords.
Don’t chase every new tool.

Get damn good at the basics.
They’ll take you farther than you think.

Link to the job in the comments section . Apply now .

We have built something incredible at NamasteSQL , something no other platform has done.


Introducing ETL and data pipelines questions on the platform. You can write full ETL code in two ways:

1 - Python
2 - Spark

We are integrating multiple data sources, and now you can practice end to end ETL directly on the platform. 

This is a big step toward our mission of making NamasteSQL the best data practice platform out there.

A lot of exciting things are in the pipeline and I cannot wait to share more.

We have added the first three ETL questions already. Check them out from the links in the comments. Feedback is welcome 🙏

Everyone wants to learn PySpark…
But most people get stuck between theory and actual hands on skills.

So I created a complete end to end PySpark ETL pipeline from scratch.

No nonsense. No filler.
Just pure practical ETL.

If you’ve been wanting to start PySpark for Data Engineering, this is the perfect starting point.

🚀 Build Your First PySpark ETL Pipeline Step by Step . 

Link to the video in the comments section .

🚨Announcing SQL Hackathon on NamasteSQL (Dec 12th to 14th)🔥🔥

If you want to test your SQL skills in a real challenge, this is your moment.

We are launching a three day SQL Hackathon on NamasteSQL.

You will get a one hour window to solve five SQL questions based on real world scenarios.

You can take the test anytime during the event window.

Enrollment is completely FREE.

As soon as you enroll you also get access to a sample test so you know exactly how the platform works.

Whether you are preparing for data engineering, analytics, BI or just want to sharpen your SQL thinking under pressure, this challenge is for you.

🔥 No theory
🔥 No fluff
🔥 Pure problem solving

Do not miss this.
Enroll now and get ready to compete.

Link to enroll in the comments section .

Let the challenge begin.🙌

Anandnarayanan S is leading the chart in the SQL hackathon. 2 more days to go !!!

Just go to namastesql dot com to participate in the hackathon.

Motivation gets you started.
Habit keeps you going.

Motivation is a spark.
Habit is the engine.

Motivation is unstable.
Habit is automatic.

Motivation depends on mood.
Habit survives bad days.

Motivation needs energy.
Habit saves energy.

If you truly want long term growth:
Stop chasing motivation.
Start building habits.

Tiny actions repeated daily beat big bursts done rarely.

Black Friday sale on Udemy . Get 100 days of sql at just Rs 389. Use code : BF2025 


Course link : https://lnkd.in/g-7AEe8G


PS : This course has top 100 sql questions from my YouTube channel . You can run and validate your query on Udemy exercise itself . 

PPS : It’s available on Udemy business as well .

Want to flaunt your SQL skills? Here is your chance.



NamasteSQL is hosting a three day SQL Hackathon from Dec 12 to Dec 14.

Five real world SQL questions. 60 mins to solve them.

Take the test anytime during the window.

This is the perfect way to see where you stand, sharpen your thinking, and compete with thousands of learners across the globe.

And yes, enrollment is completely FREE.
You will also get a sample test right after enrolling so you know exactly how the platform works.

If SQL is your strength, prove it.
If SQL is your weakness, fix it.

Join the hackathon and show what you have.
Link to register in the comments section .

Massive Black Friday sale at NamasteSQL on below courses :



1 - Analytics Engineering Bootcamp
2 - Snowflake Data Engineer Bootcamp
3 - SQL for data analytics/engineering 
4 - Python For data analytics/engineering 
5 - Power BI for data analytics 
6 - Tableau for data analytics 
7 - All plans of coding problems (Analytics , Python coding and ETL questions) 


If you want to move from theory to production ready skills, these courses are built for doers. Hands on labs, real projects, interview focused prep. 

Everything you need to ship real work and clear tough interviews.

Use code BF2025 at checkout to get flat 28 percent discount. 

PS : Discount not applicable on combos . 

#analytics #engineering

LTIMindtree

Senior Data Engineer

Tata Consultancy Services

System Engineer

Experienced Senior Data Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Bigdata,Apache Spark,Hive and Hadoop.

	Experience in design and development of applications using Hadoop and its ecosystem components like Hadoop, Hive, Spark, Sqoop, HBase and YARN.
	Excellent knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node.
	Experience on building the applications using Spark Core, Spark SQL, Data Frames. 
	Experience on importing the data from RDBMS databases MySQL, and Oracle into Hadoop data lake using Sqoop.
	Having hands on experience on data warehousing and recovery of the data using APACHE HIVE.
	Worked on tidal jobs for extracting data from legacy systems to stage, cleanse and loading into data warehouse.
	Involved in loading data from LINUX file system.
	Involved in creating Hive tables, loading with data and writing hive queries which runs internally
	Hands on experience on RDBMS.
	Hands on experience on SparkCore and SparkSQL

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taplio

The Battle

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Karimulla Shaik

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ankit Bansal's LinkedIn Performance

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