Hey, I'm Aditya 👋
Python-first engineer with a strong bias for building scalable systems and data-driven platforms.
I spend most of my time working with Django and FastAPI, but lately I’ve been diving deep into data engineering and cloud-native architectures—building event-driven pipelines and ETL workflows on AWS and Databricks.
Hands-on with:
- AWS (S3, EventBridge, SQS, Lambda functions, Step functions, Glue, Athena, DynamoDB)
- Databricks (data processing & analytics)
- Backend frameworks (Django, FastAPI)
- Databases (PostgreSQL, MongoDB)
I enjoy breaking down complex systems—whether it’s designing ingestion pipelines, optimizing workflows, or making distributed systems more reliable.
If there’s a messy system or a tough bug, I’m probably already trying to redesign it.
Always building. Always learning. Always improving.
Computers are like mischievous genies they always give you what you ask for, but not always what you want.
