I'm a seasoned DevOps and Cloud Architect with over a decade of hands-on experience in Cloud Computing, Infrastructure Automation, Big Data Solutions, and Container Orchestration. As the Head of DevOps at Avesha Systems, I lead a team of engineers in delivering scalable, secure, and high-performance infrastructure solutions across multi-cloud environments.
- π± Current Role: Head of DevOps, Engineering Manager at Avesha Systems
- π οΈ Experience: Over 10 years in DevOps, Cloud Engineering, and Infrastructure Automation with a proven track record managing large-scale cloud deployments.
- ποΈ Passionate about building robust CI/CD pipelines, multi-cloud architectures, and fully automated infrastructure for efficiency and scalability.
- π Specializations:
- π Focus Areas: Security, performance, and scalability in cloud and DevOps solutions, with expertise in Infrastructure as Code (IaC), Cloud Security, and Compliance.
- π§βπ€βπ§ Leadership: Skilled in team building and mentoring, with hands-on experience managing teams to implement DevOps best practices and scalable infrastructure solutions across multi-cloud environments.
- π Designed and implemented infrastructure automation for AWS , Azure , GCP , and IBM Cloud .
- π§ Automated deployment workflows with Ansible scripts, reducing manual effort across platforms and ensuring consistent multi-cloud Kubernetes deployments.
- π Leveraged Terraform and CloudFormation to streamline provisioning and Infrastructure as Code (IaC).
- π οΈ Developed automated CI/CD pipelines using GitHub Actions , Jenkins , and Terragrunt for Kubernetes deployments.
- π§ͺ Integrated Ginkgo for automated testing, enabling continuous deployment with high reliability and faster release cycles.
- ποΈ Built enterprise-level workflows with Nexus for artifact management, SonarQube for code quality checks, and JFrog Artifactory for secure storage.
- π Developed monitoring and logging solutions with Prometheus , Grafana , ELK Stack, and Splunk .
- π Enhanced observability using AppDynamics and Dynatrace for real-time application monitoring, supporting proactive troubleshooting and performance optimization.
- π¨ Established alerting mechanisms for rapid incident response, improving uptime across multi-cloud environments.
- πΎ Architected big data solutions using Azure HD Insights , Azure Data Factory, and Apache Spark .
- π Managed end-to-end data ingestion pipelines, utilizing Azure Databricks for data processing and transforming unstructured data into actionable insights.
- ποΈ Developed data lakes with Azure Storage for efficient storage and analysis, handling structured/unstructured data with Apache Kafka and Zookeeper for real-time streaming.
- π Applied best practices in cloud security, including IAM configurations, VPC setups, and GuardDuty for security monitoring across AWS environments.
- πΈ Established Cloud FinOps strategies to optimize costs while ensuring performance and scalability.
- π Configured Azure Key Vault, AWS KMS, and IAM Policies for data security and access control, ensuring compliance with industry standards.
- π Active Contributor: Iβm an active open-source contributor, particularly within the Kubernetes ecosystem.
- π§ Project Management: I manage and contribute to the KubeSlice project, a CNCF-certified sandbox project that facilitates multi-cluster Kubernetes networking for secure, efficient communication across clusters.
- π Community Engagement: Hosted a hands-on KubeSlice workshop at Kubernetes Community Days (KCD) Pune 2024, showcasing KubeSlice's applications in multi-cluster networking.
- π οΈ Key Contributions:
- GitOps Automation: Developed a GitOps approach using Ansible to automate KubeSlice deployments.
- Pipeline Management: Led core build and release pipelines to streamline development and enhance deployment efficiency.
- CNCF Compliance: Actively engaged in the CNCF Sandbox Certification Process, ensuring adherence to CNCF standards.
Thanks for visiting my profile! Letβs connect and collaborate on new ideas and projects. π