Benjamin - DevOps Engineer

Demonstrated experience with Microsoft Azure.

Demonstrated experience with Amazon Web Services (AWS).

Demonstrated experience with GCP.

Demonstrated experience with Amazon EC2.

Demonstrated experience with Amazon S3.

Responded promptly to incidents, troubleshooting production issues, resolving system outages, and investigating root causes to implement solutions that prevent recurrence.. Administered, maintained RedHat Enterprise Linux 7.x/8.x troubleshooting hardware, operating system, applications network problems and performance issues.. Used GCP Dataproc to run Spark and Hadoop workloads for distributed data processing.. Utilized ssh-keygen within DSA encryption to make a connection without a password from a remote Linux cloud server to a local machine.. Implemented data transformation pipelines using Azure Databricks, PySpark, Python, and SQL.. Monitored GCP Dataproc clusters and optimized resource utilization and job performance.. Implemented GCP Cloud Functions for serverless event-driven data processing.. Developed enterprise data warehouse solutions using Azure Synapse Analytics.. Designed and managed infrastructure code using Terraform, CloudFormation, and Ansible, automating the provisioning of scalable and cost-effective cloud infrastructure.. Tracked and optimized cloud infrastructure usage to maintain budgetary efficiency, preventing resource wastage.. Designed and managed production-grade infrastructure on Google Cloud Platform (GCP) using Compute Engine, VPC, Cloud Storage, Cloud DNS, Cloud NAT, Cloud Router, and IAM.. Provisioned and managed Google Kubernetes Engine (GKE) clusters using Terraform, Helm, and Workload Identity, ensuring secure and scalable containerized deployments.. Designed secure GCP VPC networks with subnets, routes, and NAT configurations.. Designed and implemented secure multi-account AWS environments using AWS Organizations, AWS Control Tower, IAM Identity Center (AWS SSO), Service Control Policies (SCPs), and AWS Config, ensuring centralized governance, security compliance, and standardized account provisioning.. Automated container deployments on Amazon EKS using ArgoCD, Helm, Karpenter, and GitOps principles, enabling zero-downtime deployments, automated scaling, improved cluster utilization, and faster application releases.. Managed GCP Cloud Storage buckets for data ingestion, processing, backup, and archival.. Built enterprise-grade CI/CD pipelines using Azure DevOps, YAML Pipelines, Azure Repos, and Azure Artifacts.. Deployed and managed microservices on Azure Kubernetes Service (AKS) using Helm, ArgoCD, and Azure Container Registry (ACR).. Designed and managed production workloads on Google Kubernetes Engine (GKE) with Helm, Horizontal Pod Autoscaler (HPA), and Workload Identity.. Automated infrastructure provisioning using Terraform, managing VPCs, Cloud NAT, Cloud DNS, Cloud Armor, IAM, and Shared VPC.. Partnered with developers to ensure infrastructure aligned with application scalability, performance, and security requirements.. Implemented data migration solutions from HDFS to GCP Cloud Storage.. Participated in code reviews to enforce best practices in infrastructure-as-code (IaC) standards.. Orchestrated Docker containers and OpenShift/Kubernetes clusters, managing configurations, scaling resources, and ensuring optimal application performance in the cluster.. Monitored and maintained Kubernetes cluster health, testing for resiliency and resolving performance issues as needed.. Integrated Azure Data Factory with Azure SQL, ADLS, Databricks, and other data sources.Implemented security protocols, including IAM role management, enforcing MFA, and securing secrets using tools like Vault, AWS Secrets Manager, and AWS Systems Manager.. Developed reusable automation scripts in Python and Shell to manage backups, log parsing, IAM policy validation, and S3 lifecycle enforcement, reducing manual operator effort and error rates.. Managed and optimized databases like MySQL and Oracle, ensuring proper indexing, performance tuning, and backup management. Developed complex analytical queries and optimized workloads using GCP BigQuery.. Monitored Autosys Batch Jobs and infrastructure analyzed failure logs in Prometheus Grafana, and enhanced shell scripts to resolve recurring issues and improve job success rates.. Used GCP BigQuery CLI (bq) for dataset management, data loading, and query execution.. Responsible for to implement AWS services like S3, EC2, EKS, Cloud trail, VPC, Route 53, SNS, SES, Cloudguru, SQS, API Gateway, Cloudwatch, CloudFront, Loadalancer, autoscaling, cognito, Serverless framework Lamda etc. configured and deployed for multiple projects.. Created monitors, alarms & notifications for EC2 hosts using AWS CloudWatch and Implemented Instances and Prometheus on Kubernetes.. Designed secure Azure Virtual Network (VNet) architectures with subnets, routing, and network security controls.. Leveraged GitHub Copilot for automated script generation and debugging in CI/CD pipelines, reducing manual effort and deployment time.. Used GCP gsutil for automated file transfers and Cloud Storage administration.. Hands on Experience using Argo CD to trigger fully automated builds from GitHub for the applications which needs often build releases. Utilized advantages of GITOPS in the build and release processes for automation using Bitbucket as version Control.. Run a drill with full team involvement, validating RTO/RPO, failover procedures, and cross-region recovery for cloud platforms AWS.. Built streaming data ingestion solutions using GCP Pub/Sub for near-real-time processing.. Managed data storage using Azure Blob Storage for structured and unstructured enterprise data.. Monitored GCP workloads using Cloud Monitoring, Cloud Logging, Managed Prometheus, and Grafana, creating dashboards and alerting policies for proactive incident management.. Schedule regular DR tests (quarterly or bi-annually) to confirm that systems can recover quickly and reliably.. Used kafka a publish-subscribe messaging system by creating topics using consumers and producers to ingest data into the application for spark to process the data and create kafka topics for application and system logs. worked with production support teams extensively and given solutions to the problems using Dynatrace APM,health checks of application from Dynatrace as well from their- NIX/unix server hosts.