Hey, Bhushan Rane here.
I'm
🔧 Engineer 🔧
With 10+ years of professional experience, I specialize in transforming complex technical and engineering challenges into elegant solutions that deliver real business value, leveraging cloud infrastructure, CI/CD pipelines, data engineering, and data science to drive innovation.
Let's transform your ideas into robust, data-driven solutions!
About me.

Versatile DevOps, Cloud and Data specialist with 9 years of experience, having a deep understanding of software, analytics, manufacturing processes, and business operations.
Adept at rapidly assimilating information, drawing conclusions, and confidently presenting insights to both technical and non-technical audiences.
As a creative, curious and analytical thinker, I excel in approaching technology from a business perspective, with a strong focus on automation and data-driven solutions to drive growth and efficiency.

Core Expertise
Recent projects.
Python SDK for NetBird API with full resource coverage, topology visualization, and type-safe Pydantic models.
Terraform module for provisioning NetBird networks with peer groups, routing, access policies, and device enrollment.
Multi-account AWS environment with security guardrails, governance, and networking best practices baked in.
AWS Security Comply 360
PrivateSecurity and compliance monitoring for AWS environments against NIST, CIS, and regulatory frameworks.
AI Powered Cloud Sandbox Provisioner
PrivateMulti-cloud operations platform with a conversational chat interface, enterprise security guardrails, and federated auth.
Homelab guide for building cost-effective infrastructure with Raspberry Pi, Kubernetes, and open-source tools.
My Experience

- Led the secure migration of multi-tiered applications from Hetzner and Azure to Google Cloud for a Swiss WealthTech client, provisioning GKE clusters with Envoy Gateway, managed databases following industry-standard security best practices
- Developed a multi-cloud AI sandbox provisioner (GCP, AWS, Azure, OCI) with chat and Slack/CLI integration. Enabled natural language cloud provisioning with security and approval workflows, achieving 95% cost savings
- Implemented ArgoCD Autopilot for GitOps-driven deployments, managing 15+ GKE clusters from a single Argo CD instance while maintaining high availability and scalability

- Architected and deployed an on-premises data platform from scratch — 15-node Hadoop cluster, 10-node Kubernetes cluster with Kafka, NiFi, and supporting services, increasing data processing throughput by 60%
- Managed Kubernetes workloads including Airflow and Jupyter with GitOps delivery using Argo CD, implementing OAuth 2.0 SSO for platform-wide access control
- Built HealthD, an automated incident detection system in Python that identified edge failures and auto-created JIRA tickets, reducing mean time to resolution by 70%

- Designed and implemented a high-availability monitoring and alerting platform for 200+ edge and CDN nodes using Prometheus, Grafana, and ELK, improving system reliability
- Improved CDN deployment efficiency by 30% by standardizing base configurations with custom Debian OS images
- Developed data ingestion pipelines using Apache NiFi and PySpark for real-time edge telemetry processing

- Automated complex data ingestion, processing, and visualization workflows using Microsoft Excel, AccessDB, and Power BI, resulting in 95% of time and cost savings.
- Designed, developed, and manufactured precision mechanical components utilizing diverse manufacturing processes and operations.
- Enhanced manufacturing efficiency by optimizing workflows, tooling, and process parameters, leading to improved productivity and reduced waste.
Professional Certifications











KCSA: Kubernetes and Cloud Native Security Associate
The Linux Foundation
March 2025


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