Hi, I'm Manish Pandey 👋
Senior Cloud & DevOps Engineer | MLOps | LLMOps | Platform Engineering
Building Scalable Cloud Platforms
Automating Everything with Code
Turning Ideas into Production Systems
DevOps | MLOps | Platform Engineering
About Me
Results-driven Senior Cloud & DevOps Engineer with 7+ years of experience designing and operating production-grade, scalable, and secure cloud platforms.
Currently at Navadhan Capital, I architect and manage end-to-end data platforms, MLOps pipelines, observability stacks, and Zero Trust infrastructure — primarily on Google Cloud with multi-cloud exposure.
I specialize in GCP-native architectures, data orchestration (Airflow + Airbyte), FinOps, comprehensive observability, and secure access & identity management.
My Tech Stack
Featured Projects
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finops-cloud
Multi-cloud FinOps CLI agent with AI-powered anomaly detection, waste identification, forecasting, and natural-language insights. Fully local & read-only. -
airflow-data-pipelines
Production-grade Airflow orchestration on GCP with Airbyte ELT, dbt, BigQuery, Cloud Build CI/CD, and Teams alerting. -
db_access_management
Centralized Zero Trust database access control for GCP Cloud SQL + MongoDB Atlas with Google Workspace IAM automation. -
cloudrun-mongo-cred-rotator
Secure automated MongoDB Atlas credential rotation on GCP Cloud Run. -
terraform-gcp-vpc-platform
Reusable Terraform module for secure, highly available GCP VPC infrastructure.
Currently Open to Work
Actively seeking Senior / Lead roles in:
- Cloud Platform Engineering
- DevSecOps & Platform Engineering
- MLOps / LLMOps / Data Platform Engineering
- Multi-cloud & Observability
Especially in fintech, SaaS, or AI-first companies.
📄 View my Resume
💼 Connect on LinkedIn
GitHub Stats & Activity
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Feel free to explore my repositories. Stars and feedback are always appreciated! ⭐
Let's Connect
- LinkedIn → Manish Pandey
- Medium → @mpandey95
- Threads → @learningwithmanish
- WhatsApp → Message me
Thanks for visiting!
If you're hiring or working on interesting projects in cloud platforms, data engineering, or observability — I'd love to connect.

