Harish S.

Senior DevOps Engineer| AWS| Terraform| Kubernetes |GCP| | Azure| CI/CD | Microsoft Fabric | Infrastructure Automation Slow deployments, manual infrastructure, and cloud complexity can cost engineering teams weeks every quarter. I build Terraform-based infrastructure, Kubernetes environments, and CI/CD pipelines that make deployments repeatable, reliable, and easier to manage across AWS, Azure, and GCP. With hands-on expertise in cloud infrastructure, DevOps toolchains, infrastructure automation, Linux systems, and data platforms, I deliver production-ready environments built for scalability, security, high availability, and efficient operations. My Core Competencies: Cloud Infrastructure AWS: EC2, Auto Scaling, Load Balancers, Lambda, Elastic Beanstalk Networking: VPC, Subnets, VPC Peering, Route53, NAT Gateways, Transit Gateways Storage: S3, EFS, AWS Backup, Glacier Containers: Docker, ECS, EKS, Blue/Green and Canary deployments Security: IAM, KMS, Secrets Manager, ACM, WAF Cloud Platforms: Microsoft Azure, GCP DevOps & Automation: Infrastructure as Code: Terraform, AWS CloudFormation CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline, Bitbucket Pipelines Configuration Management: Ansible, Docker Compose Kubernetes & Containers: Kubernetes, Docker, ECS, EKS Monitoring & Observability: CloudWatch, Datadog, Prometheus, Grafana, New Relic, StatusCake Linux Systems & Automation Ubuntu, CentOS, Amazon Linux, Debian Nginx, Apache, SSL/Certbot Bash and Python automation Cron jobs, log management and system administration Server hardening, patching, SSH key management and firewall configuration Databases & Application Stack MySQL, PostgreSQL, MongoDB, MSSQL LAMP and LEMP stack provisioning and optimization Application deployment, server configuration and performance optimization Cloud Data & Engineering Platforms Microsoft Azure | Microsoft Fabric | Azure Databricks | Snowflake Data Engineering & Processing PySpark, Spark SQL, Delta Lake Lakehouse Architecture and Data Warehousing Azure Data Factory and dbt ADLS Gen2, Azure Blob Storage, OneLake Data Governance & Performance Data Quality and Validation Data Lineage and Access Control RBAC and governance Partitioning, caching, Z-Ordering and query optimization Why Work With Me? Experienced Problem Solver: I help startups and enterprises build and scale reliable infrastructure while improving operational efficiency and controlling cloud costs. Security & Reliability Focused: Infrastructure is designed with access control, monitoring, patching, availability, and production reliability in mind. Automation First: I reduce repetitive infrastructure and deployment work through IaC, CI/CD, scripting, and cloud-native automation. Clear Documentation: Solutions are documented and structured so your internal team can maintain and extend them confidently. Tech Stack Snapshot: AWS | Azure | GCP | Terraform | Kubernetes | Docker | DevOps | CI/CD | Ansible | Linux | Python | GitHub Actions | Jenkins | Prometheus | Grafana | CloudWatch | Microsoft Fabric | Azure Databricks | Snowflake | PySpark | Spark SQL | Data Engineering | Infrastructure Automation I help engineering teams build scalable cloud infrastructure, automate deployments, modernize data platforms, and keep production environments reliable and maintainable.