Day 7 - Add Nitish Songara's DevOps stack

content/experts/nitish-songara.md

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+---
+name: 'Nitish Songara'
+slug: 'nitish-songara'
+title: 'Senior Data Engineer'
+bio: 'Senior Data Engineer experienced in building scalable data pipelines, cloud infrastructure, containerized workloads, and automated CI/CD workflows.'
+avatar: '/images/experts/nitish-songara.jpg'
+specialties:
+  - Docker
+  - Kubernetes
+  - Terraform
+  - CI/CD
+  - AWS
+  - Data Engineering
+  - Infrastructure as Code
+availability: 'Open to consulting and collaboration'
+location: 'India'
+email: 'nitishsongara75@gmail.com'
+website: 'https://github.com/sonu7089'
+github: 'https://github.com/sonu7089'
+---
+
+## About Me
+
+I am a Senior Data Engineer with over five years of experience designing, automating, and operating cloud-native data platforms and DevOps infrastructure across enterprise and high-growth environments.
+
+## What I Work On
+
+- **Cloud & Data Infrastructure**: Provisioning reliable cloud environments and distributed data processing architectures using Terraform and AWS
+- **Containerization & Orchestration**: Packaging and scaling data services and microservices with Docker and Kubernetes
+- **CI/CD & Automation**: Building automated testing, deployment, and observability pipelines for data and backend engineering teams
+- **Data Engineering at Scale**: Designing fault-tolerant ETL/ELT pipelines, lakehouse architectures, and real-time streaming systems
+
+## My Stack
+
+### CI/CD & Version Control
+
+- **Git & GitHub Actions** for source control, automated testing, and container image build pipelines
+- **ArgoCD** for declarative GitOps deployments and continuous reconciliation on Kubernetes
+
+### Infrastructure & Cloud
+
+- **Terraform** for provisioning reproducible cloud and data platform infrastructure as code
+- **AWS** for scalable compute, object storage, and managed data services
+
+### Containers & Orchestration
+
+- **Docker** for consistent local development environments and packaging data/backend services
+- **Kubernetes** for orchestrating containerized microservices, batch jobs, and distributed workloads
+
+### Monitoring & Observability
+
+- **Prometheus + Grafana** for cluster, pipeline, and application metrics visualization
+- **CloudWatch & OpenTelemetry** for centralized logging, tracing, and alerting
+
+### Why This Stack
+
+I chose this combination because treating both infrastructure and data pipelines as declarative code eliminates configuration drift between environments. The biggest win has been pairing GitHub Actions with ArgoCD and Terraform: every infrastructure or pipeline change goes through pull request review and rolls out predictably with a full audit trail in Git.
+
+### One Thing I'd Change
+
+If I were starting fresh on a new platform today, I'd standardize on `ApplicationSet` generators and strict cost-allocation tagging in Terraform from day one rather than retrofitting multi-environment GitOps templates and FinOps visibility after the cluster footprint grows.
+