Wavicle Data Solutions

Lead Data Engineer

LinkedIn

LinkedIn Learning Instructor

Globant

Senior Data Engineer

CRISIL Limited

Senior Analyst - Data Engineer

Quantiphi

Data Engineer

Tata Consultancy Services

System Engineer

Assistant System Engineer

Assistant System Engineer - Trainee

InsideSherpa

KPMG Data Analytics Consulting Virtual Internship

Monisha Enterprises

•	Data mining and Extraction Transformation Loading using R programming.
•	Data cleaning and processing for Data analysis done using Python using NumPy, pandas, SciPy, Scikit. Data modelling and prediction was done using algorithms – Logistic Regression, Time Series Forecasting, Clustering and Classification.
•	Data Visualization done using Tableau for generating reports to enhance the productivity of the products.
•	Built a Data Warehouse on MSSQL Server for ERP System of the enterprise to organize the data for future processing.

Data Analyst Intern

Open to Collaborate | Storyteller | Lead Data Engineer@Wavicle| Linkedin Top Voice 2024 | Globant | Linkedin Learning Instructor | 2xGCP & AWS Certified | LICAP'2022

Data Engineer with 7+ years of experience working on data engineering, analysis, and modelling projects for various domains, such as banking, healthcare, sales, and e-commerce. I leverage my strong statistical and analytical ability to explore business ideas and provide innovative solutions. 

Skilled with technologies and strong intellect with enthusiasm as an avid learner with challenging opportunities. I’m working as a LinkedIn Learning Instructor to bring change as a data evangelist.

Post Graduated in Master of Technology in Data Science and Engineering from Birla Institute of Technology and Science, Pilani in 2023, where I learned advanced concepts and techniques in data science and engineering, machine learning, cloud computing, and visualization. 

I hold multiple certifications in GCP, AWS, and Azure, and I enjoy working with cloud technologies and big data platforms.

I am passionate about data science and women empowerment, and I have been recognized as the 
- Linkedin Top Voice 2024 
- Data Science and Women Empowerment Thought Leader by Global AI Hub. 

I am also a proud participant of the LinkedIn Creator Accelerator Program 2022, where I share my insights and experiences with the data science community. 

I am open to collaborate and share ideas, or explore various opportunities in the data field.

Pooja Jain

73% of data pipeline failures happen because of dependency issues, not bad code.
Cron jobs don't care if yesterday's data never arrived. They'll happily run on empty tables and produce garbage.

Airflow? It checks, retries, alerts, and refuses to cascade your failure downstream.

→ Beyond scheduling Airflow gives an important feature of 𝗗𝗔𝗚𝘀(𝗗𝗶𝗿𝗲𝗰𝘁 𝗔𝗰𝘆𝗰𝗹𝗶𝗰 𝗚𝗿𝗮𝗽𝗵𝘀), that helps to monitor, retry and gives flexibility to organize pipelines with minimum/less code.

🤔 Data Engineers often misinterpret Airflow just as an orchestration tool.

Apache Airflow is an open-source platform designed to programmatically author, schedule, retry and monitor workflows. 

🎼Think of it as the "conductor of an orchestra", where each musician (your data tasks, like data extraction, transformation, loading, or model training) knows when to play, what to play, and what happens if they make a mistake.

Most data engineers automate the wrong things at the wrong time.

Here's the framework I use after 8 years of building production systems:
✅ AUTOMATE WHEN: 
→ Task runs daily/weekly 
→ Human errors cause outages 
→ Work blocks other priorities
→ Team growth = more manual work
Examples: Reports, schema checks, alerts

❌ DON'T AUTOMATE WHEN: 
→ Task happens quarterly 
→ Requirements change weekly 
→ Process isn't understood yet 
→ Manual steps reveal insights

My rule: If it’s done 3+ times, script it; 10+ times, automate it; fails 5+ times, redesign it.
Automate what matters, when it matters—not everything!

Airflow isn’t just about running tasks.

🕑 It’s about building trustworthy, scalable, and observable pipelines that run reliably at 2am — even when you’re not watching.

Airflow gives structure to your chaos.
DAGs give clarity to your pipelines. 
That’s why DEs love them ❤️

Real Example: 
Instead of: 
❌ Cron jobs that fail silently 
❌ Manual dependency management
❌ No visibility into failures
You get: 
✅ Visual workflow monitoring 
✅ Automatic failure notifications
✅ Smart task scheduling 
✅ Easy debugging & restarting

Here's an amazing Airflow cheatsheet with some fundamentals concepts and interview questions to prepare for data engineers. 👇

Carousel Credits -  Futurense.com

Willing to learn more, here's the link to Astronomer free learning path - https://lnkd.in/g8-EWBda

Also, level up with Marc Lamberti's Udemy course on Airflow 3 - https://lnkd.in/gwArwaME

Airflow

Want to grow on LinkedIn ? Msg me | 75K+ LinkedIn | LinkedIn Personal Brand Builder | LinkedIn Profile Growth Specialist | Social media Expert | Brand Partnership | Influencer Marketing | LinkedIn Consultant

For Collab : krishnasagrawal13@gmail.com

Hey there,

Thanks for stopping by.... 

I can help you grow your LinkedIn account and can guide you How to create prepare proper content strategy, so that you can get really good engagement.

Will share all my tips and hacks, which I have collected over the years of my LinkedIn Journey.

Do not hesitate to DM me!!!

Krishna Agrawal

Replit is making it incredibly easy for anyone to get their ideas online.

Publishing your first website for free is already a big win — but getting a free .com domain with Replit Core during Black Friday is a game-changer.

If you’ve been waiting for the “right time” to start building your online presence… this is it.

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Don’t miss out on our Black Friday deal: 
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✅ Get a free .com domain when you subscribe to Replit Core
 
Build your site in minutes with Design Mode, share for free, then upgrade to put it on a custom .com domain! 
  
Start now: https://Replit.com

Most people build side projects to “try ideas.”

But nobody prepares you for the real challenge:
getting those projects into the App Store with monetization that actually works.

For years, I did the same dance—
Building prototypes.
Tweaking UI.
Exporting code that never shipped.
Starting new projects instead of launching the old ones.

Then I tested tile.dev, and it flipped something in my brain.

Instead of being another “app builder,”
tile.dev acts more like a production engine.
You’re not building demos → you’re building real apps.

You’re not adding monetization later → you launch with in-app purchases on Day 1.
And you’re not stuck with the limitations of Rork, Bolt, or the usual no-code tools.

It finally felt like someone built a platform for creators who want their app to be a business, not a weekend experiment.

If you’re in the loop with AI tools,
tile.dev feels like the missing piece between:
“I have an idea” → “My app is live and making money.”

I’m exploring it deeply and sharing honest thoughts soon.

If you’re a creator, developer, or indie hacker
this is something you should keep an eye on.

tile.dev → build fast, ship fast, earn fast.

Incredible update from Replit!

The new Design Mode, powered by Gemini 3 Pro, makes it insanely fast to turn ideas into beautiful, interactive mockups — and even full websites.

Best part?
With a single click, “Convert to App”, your design becomes a working application with backend support.

Huge win for builders, PMs, marketers, and solo founders. 🙌

Introducing Design Mode in Replit—build beautiful, interactive mockups or websites 5X faster. 
 
Powered by the new Gemini 3 Pro model, it’s the fastest and most beautiful way to go from idea → design. 
 
✨ What you can do
* Rapidly prototype product ideas—perfect for PMs & designers.
* Build beautiful, ready-to-deploy websites in minutes—ideal for marketers and small business owners. 
  
When you’re ready to add functionality, click “Convert to App” to turn your design into a full app with backend.

If your CAC hasn’t dropped by 20–30% yet, you’re missing the easiest win of 2025.

Click-to-Ad by Higgsfield.ai is reducing marketing spend across the board:
• No production costs
• No creator fees
• No reshoots
• No waiting

Unlimited variations → unlimited A/B tests → lower CAC.

Your budget stays the same.
Your performance doesn’t.

This is the most unfair advantage marketers have had in years.

Try it here: https:/https://lnkd.in/deqE4VnB

taplio

The Battle

Pooja Jain

Krishna Agrawal

Followers

Posts

Engagements

Likes

Performance ScorePooja Jain's LinkedIn Performance

Performance ScoreKrishna Agrawal's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Pooja Jain

Krishna Agrawal

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);}Pooja Jain's LinkedIn Performance

Performance ScoreKrishna Agrawal's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScorePooja Jain's LinkedIn Performance