Hi, I’m Atul.
GCP Data Engineer & Cloud Architect
I architect data systems
and build with GenAI.
Python, Google Cloud, and a drive to build things that work better. I design scalable data systems and bring generative AI ideas to life.
Runs fast. Costs less. Scales beautifully.
- Experience
- 5+ years
- Building data systems
- Certification
- GCP PCA
- Professional Cloud Architect
- Focus
- Data + AI
- From pipelines to intelligent agents
The toolkit
Technology Stack
The tools I use to turn complex problems into dependable systems.
Writing & ideas
Featured Articles
Field notes on data, cloud, and the things I learn along the way.
Building a Scalable AI Data Pipeline on Google Cloud
A practical guide to designing and building a scalable AI data pipeline on Google Cloud.
Advanced BigQuery Features
Hidden gems and advanced features in BigQuery that can help you optimise your queries and improve performance.
GCP Professional Cloud Architect Journey
Reflections on becoming a Google Cloud Professional Cloud Architect — preparation strategies and exam insights.
BigQuery SQL Syntax Guide
Complete syntax reference for BigQuery SQL with practical examples and best practices for data professionals.
Python PGP Encryption
Learn how to encrypt and decrypt PGP files using Python's PGPy library with step-by-step examples and code.
What I’m working on
Current Focus
Where my curiosity meets hands-on engineering.
RAG & GenAI Agent Development
ExploringBuilding retrieval-augmented generation systems and intelligent agents on Google Cloud. Turning generative AI experiments into scalable, cost-effective solutions.
Data Pipeline Optimisation
BuildingOptimising BigQuery pipelines and building FastAPI applications for high-performance data processing. Lower cloud costs, reliable systems, and faster results.
Cloud Architecture
DesigningDesigning secure, scalable cloud architectures as a GCP Professional Cloud Architect, with a focus on data engineering and production-ready AI systems.