Toward Data Science

I never wanted to be a Data Engineer or Data Scientist. I just wanted to write simple apps, pay my bills, and live like a normal person. But life said, “LOL, no.”

It started with one tiny request: “Hey, can you generate this report?” Like an idiot, I said yes. Big mistake. That’s how I met PostgreSQL—powerful, reliable, and fluent in ancient riddles. One missing semicolon cost me an entire day.

Then came Apache Spark. At first, I felt like a NASA engineer. Then I realized it was more like fixing a jet engine mid-flight. Kafka joined the chaos next—everyone loves it, but setting it up feels like herding caffeinated squirrels. And don’t get me started on Zookeeper.

Suddenly, data wasn’t enough—I had to process, optimize, and store it. I heard “lakehouse” and thought “Sounds relaxing!” Nope. It’s just a fancy way of saying “Welcome to eternal data cleaning.” Then Apache Airflow entered my life, turning my job into Jenga—where one failed task brings everything crashing down.

And just when I thought I had control, AI showed up.

“Hey, look! AI can generate reports now!”

“Oh wow, AI just built an entire pipeline while I was making coffee!”

So now? I’m learning AI, not because I want to, but because I have to. If AI is taking my job, I’ll master it first. All I really wanted was to eat, pay my bills, and not learn a new tech every month. But let’s be honest… I’ll probably be learning something new next week.

Sigh.