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

The message is “keep calm and believe in yourself . Your time will come” . I repeat ..


Your time will come 🙌🥊🔥

Founder @ NamasteSQL.com | SQL Champion | YouTuber

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Edit : As promised 35 percent discount is ON . Use code INDIA 🇮🇳 


Massive discount on NamasteSQL If India wins the match today. ( Based on margin of victory👇)


Please read till the end to understand the complete calculations.


If India wins by runs:
Discount percentage = winning run margin 

For example if India wins by 30 runs then 30 percent discount.


If India wins by wickets:
Discount percentage = 5* (# of wickets remaining)

For example if India wins by 7 wickets then 35 percent discount.


If India wins in a super over then flat 30 percent discount.

Please note that there is a lower and upper cap for discount which is 25 and 35 percent respectively.

Use code INDIA after the match ✌️

Let's cheer for team India and a big win 🔥🔥🏆🏆

Indiaaa Indiaaa 🇮🇳🇮🇳

#t20wc #india #analytics

Yes, they all play for the country, but the feeling of pride and happiness it brings to their families gives a different level of satisfaction. 🙏🇮🇳

Data Engineer hackathon has begun on NamasteSQL and here is the leaderboard after first day. 

Anandnarayanan S is leading the chart with full marks.

You can still participate and show your problem solving skills.  Just visit namastesql(dot)com to take part. 

PS : Top 3 winners will get FREE access to namaste spark course 😍

People have so short attention span nowadays. They don’t even read full post.


Yesterday I posted in the morning that NamasteSQL will offer a discount equivalent to the number of runs India wins by.

It was clearly mentioned that the upper cap for discount is 35%.

Still a lot of people started messaging me at night saying
“Please provide 96% discount now.”

To everyone of them I responded:

Read the post again.

Sometimes the problem is not the post, it’s the patience to read it.

PS : The discount will be LIVE till tonight . Use code INDIA at checkout .

Messages like this make everything worth it. ❤️

Someone with 6+ years of experience in SQL and Data Warehousing saying that things finally became crystal clear after watching the video is exactly why I create this content.

Many professionals work with data for years but never get the chance to understand the fundamentals of data modeling and warehousing properly. Once those concepts click, everything suddenly starts making sense.

That “aha” moment is what I try to create with every video.

Grateful for everyone who watches, learns, and takes a minute to share feedback like this. It means a lot. 🙏

If you are preparing for Data Engineering or Analytics interviews, this video might help you revise the core concepts quickly.

Sometimes all it takes is the right explanation at the right time. 🚀

Link in comments .

graphical user interface, text, application

As promised 35 percent discount is ON . Use code INDIA 🇮🇳

More than 500 students have given the test so far and here is the current leaderboard of data engineer hackathon on NamasteSQL . 

5 days more to go.  You can still register and flaunt your problem solving skills. 

To register visit namastesql(dot)com -> Courses-> Live Bootcamp -> click on enroll . 

Happy coding.

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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The Battle

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Karimulla Shaik

Followers

Posts

Engagements

Likes

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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