Artificial Intelligence (AI) is evolving fast, and one of the most exciting areas today is Agentic AI — systems that don’t just generate responses, but also plan, take actions, and use tools like a real assistant.
If you’re new to this space, the learning path can feel overwhelming. That’s why I’ve created a step-by-step roadmap that will help you go from zero to building Agentic AI applications.
StoryTime | My First Project Experience in IT — From Panic to Growth
The day I joined my first project as a fresher in an MNC, I thought I’d start slow — maybe shadow someone, understand the system, or assist with small tasks.
But no.
I was handed a 4,000-line shell script — the main script of the entire module — and told:
“Go through this today. Share your understanding tomorrow.”
How to Become a Data Engineer from a Non-Technical Background: A Step-by-Step Guide
Are you interested in transitioning into data engineering, even though your background is not in technology? You’re not alone. Many people from fields like business, healthcare, or the arts dream of harnessing the power of data but worry that their lack of technical experience will hold them back. The good news: breaking into data engineering is absolutely possible—with a roadmap and determination.
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.
Impetus | Big Data Engineer Interview Questions- Set 3
In this post, we will see the list of questions asked with 3+ YOE candidate in Impetus Company Interview for Data Engineer profile.
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 […]
Tiger Analytics | Data Engineer Interview Questions – Set 1
In this post, we will see the list of questions asked with 4+ YOE candidate in Tiger Analytics Company Interview for AWS Data Engineer profile.
Let’s see the Questions:
PySpark | How to Perform Data Type Casting on Columns in a DataFrame?
When working with data in PySpark, ensuring the correct data type for each column is essential for accurate analysis and processing. Sometimes, the data types of columns may not match your requirements. For example, a column containing numeric data might be stored as a string (string), or dates may be stored in an incorrect format.