Hey DEV community! I’m Ramya an undergraduate in Artificial Intelligence and Data Science, steadily navigating my way into cloud-native data engineering.
This post isn’t a portfolio of finished projects or polished achievements. It’s a record of the building phase: the hours spent understanding concepts, breaking things, fixing them, and occasionally just staring at code until something clicks.
I chose this path not for shiny titles, but for the invisible architecture behind great system the pipelines, the orchestration, the quiet backbone of real-time data. These are the things that keep me curious.
What I’m Currently Exploring
- Designing cloud-native workflows
- Learning tools like Apache Airflow, Python, and Spark
- Documenting insights and challenges openly, as I learn
Writing is how I make sense of what I’m learning. If you're somewhere in that messy middle of learning, building, doubting, repeating… welcome. You’re not alone.
This isn’t a success story.
But it’s mine.
And it’s unfolding one step, one post, one pipeline at a time.
Let’s Connect
If you’re exploring similar tools or just figuring things out, I’d love to hear your story too. Drop a comment or share your favorite resources!