A creative thinker, a continuous learner, a technologist. Deepanshu is a data engineer with great technical skills and a passion for resolving complex problems at ease. 
Adept at maintaining focus on achieving the right end results while formulating and implementing advanced technology and business solutions, especially in customer analytics and growth analytics areas. Deepanshu's skills include SQL, Data Engineering, Apache Spark, Extract, Transform, Load (ETL), Pipelining, Python, NoSQL and he has worked on all three major cloud platforms GCP, Azure, and AWS.

Apart from these Deepanshu focuses on collaboration and communication skills, together with a demonstrable desire to learn more thanks to the exceptionally amazing peers he has worked with. This helps him secure competitive advantage when comes to good quality work and team building.

He is currently delivering value to customers as a Data Engineer at Google with his Data strategy, vision, and technical implementation. In the past, he worked with Microsoft and touched billion+ of users with his data solutions. Deepanshu is aspiring and interested to get into or promote into a role where he can clearly demonstrate his leadership and product management qualities.

You can connect with Deepanshu on Instagram as well at instagram.com/dkalra_/

Thank you for reading.
Keep hustling! Keep growing!

Deepanshu Kalra

Design is the New Code!

In today's tech landscape, we're shifting gears at breakneck speed. The real bottlenecks aren't technical—they're visionary. Here's what I'm seeing:

1. Vision as the Ultimate Bottleneck: Ideas are abundant, but crystal-clear foresight separates winners from the pack.
2. Intuition Trumps Implementation: Gut instincts and user empathy now outpace raw coding prowess.
3. Innovation as the Guiding North Star: It's not about building faster; it's about building smarter, with purpose at the core.

This evolution boils down to one profound pivot: from "Can we build this?" to "Should we build this?"—focusing on impact, ethics, and user needs over mere feasibility.

Are you noticing these shifts in your world? As designer-founders take center stage, are you ready to lead with creativity and intuition?

#DesignThinking #Innovation #LessonsLearned

Keep Hustling. Keep Learning. 
Deepanshu Kalra

Data Engineering, AI & Analytics at Google | xMicrosoft

SWE III at Google | Tech, AI & Career | views = mine | 800K+ Followers | Speaker | Judge | Tech Creator | 2X Featured on Times Square | l#MotivationForTheDay

Archy Gupta

When I moved to Hyderabad, my in hand salary was ₹10,000. 👩‍💻
I lived on that amount for four months. I managed rent, food, transport, everything. I even saved a little and bought gifts for my family. ✅

Last year, I met Prof. Ravindrababu Ravula and heard his story. He has built an empire of 500cr (he started with ₹500). 🙌

📍Yesterday he told me that he is now helping people with financial planning and if you are interested, here’s how you can connect : https://lnkd.in/g677rpW8

Personally, One hour talk with him taught me more than any finance book or course could teach me. 

What I respect most is his clarity. Just practical, sometimes uncomfortable financial truths.✌️

Coming back to my story, as my career grew, my income increased. But the biggest mistake I did was I didn’t start investing until I got married.

I did some small investments just for tax savings without a clear plan. 

📍Here’s my two cents who is starting now:

1. Start investing early. Time compounds quietly.
2. Take risks you can afford to lose.
3. Secure health insurance, term insurance, and six months of emergency funds.
4. Invest in your skills.
5. Think long term. Avoid greed.

Financial planning is about intention, not income.

If you need financial planning advice, I would highly recommend to have a session with RBR. 

Bdw, what was your first salary❓Did you service without family’s support❓

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Most systems don’t slow down because of complex logic.
They slow down because the same data is fetched again and again.

This reel explains caching in simple terms:

• You start with an app that queries the database for every request.
• Traffic grows. The database becomes the bottleneck.
• Repeated reads overload it. Latency increases.
• So you add a cache layer.
• Frequently accessed data is stored in fast memory.
• Requests hit the cache first instead of the database.
• If the data is present, it returns instantly.
• If not, it’s fetched from the database and stored for next time.

That’s the core idea.

Caching isn’t just about speed.
It’s about reducing database load, improving response times, and handling scale gracefully.

It decides “where” data is served from so your system can stay fast under pressure.

Save this if it made caching clearer.
More system design breakdowns coming soon.

#systemdesign #caching #backendengineering #scalability #softwarearchitecture #distributedsystems

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The Battle

Deepanshu Kalra

Archy Gupta

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The Battle

Deepanshu Kalra

Archy Gupta

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);}Deepanshu Kalra's LinkedIn Performance

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