StoryTime| From Content Writer to Data Engineer: A Path I Never Planned

If you’d asked me in college what I’d become after graduation, I’d have probably said:
“Maybe a Python content writer… definitely not a developer.”

I wasn’t into competitive programming.
I was somewhere between a “basic coder” and a “kuch toh aata hai” coder.
But life — and career — had different plans for me.

StoryTime | How I Overcame My Fear of Speaking and Gained Confidence in College?

I was never a topper.
I was never a failure either.
I lived somewhere in the “decent marks zone” — the middle child of academia. Not loud enough to be noticed, not quiet enough to be forgotten.

But if you asked me what I really lacked during my school days, it wasn’t grades — it was confidence.

Data Engineering Interview Prep Series – Python Interview Q&A

Python is a fundamental language for Data Engineering, widely used in data processing, ETL pipelines, and big data frameworks like PySpark. To help you ace your Data Engineering interviews, I’m starting a Python Q&A series where we will cover commonly asked questions along with detailed explanations.

PySpark | How to Split a Single Column into Multiple Columns?

When working with data, you often encounter scenarios where a single column contains values that need to be split into multiple columns for easier analysis or processing. PySpark provides flexible way to achieve this using the split() function. In this article, we’ll cover how to split a single column into multiple columns in a PySpark […]

? Need further clarification or have any questions? Let's connect!

Connect 1:1 With Me: Schedule Call


If you have any doubts or would like to discuss anything related to this blog, feel free to reach out to me. I'm here to help! You can schedule a call by clicking on the above given link.
I'm looking forward to hearing from you and assisting you with any inquiries you may have. Your understanding and engagement are important to me!

This will close in 20 seconds