Harshit Shukla

If there’s a bug in my Python code, I’ll find it—usually after coffee. I’ve wrangled data and built scripts faster than you can say “import this”.

My SQL queries are optimized for breakfast, lunch, and big data crunches. I dream in SELECTs and sometimes forget semicolons—not proud, just honest!

I’ve orchestrated PySpark pipelines and survived cluster chaos—I code distributed tasks smoother than Spark’s own DAG scheduler.

My notebooks in Databricks are so organized, even my future self thanks me. I wrangle data and run jobs with a click and a bit of luck.

I confidently deploy scalable data pipelines on Azure—because why fear the cloud when you can automate it?

I schedule data jobs and chase DAG errors before breakfast. My Airflow graphs look so good, they could hang in a data museum.

I turn cold, hard data into dashboards so lively, even executives stare. If you spot a typo in a chart, it's just to check if you’re paying attention!

My commits are frequent and descriptive—unless it’s Friday at 5PM. I resolve merge conflicts like a diplomat who pairs well with donuts.

I containerize with skill. My local builds are cleaner than my kitchen—both have great uptime!

I orchestrate containers and pods—my clusters stay happy, except when they rebel (usually Mondays).

I store, retrieve, and secure petabytes of data—because the cloud should keep data dry, not developers waiting!

My ETL jobs transform messy data into analytics gold. And yes, I document every step—because chaos shouldn’t show up in production.

I architect data warehouses sturdy enough to survive quarterly reviews (and random pivots from management).