About
Over 9+ years of work experience in the IT industry as Sr. DevOps Engineer, Cloud Engineer, Big Data Engineer , Build/Release Management and Jr. Developer proficient across the entire Software Development Life Cycle (SDLC), my expertise comprises, but is not restricted to, automation, CI/CD implementation, system administration, cloud computing, software configuration management (SCM), containerization, orchestration, and scripting for diverse environments. My key strengths and accomplishments in this role encompass: ● Experience over 4+ years in managing multi-cloud environments, including AWS, Azure, and Google Cloud, ensuring redundancy and failover capabilities. ● Strong background in Cloud Security practices, ensuring compliance with industry standards and regulations. ● Expertise in Azure cloud services, encompassing IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus. ● Integrating applications with Azure AD, designing multi-site and hybrid networks, setting up Site-to-Site and Point-to-Site VPNs, and utilizing Azure Site Recovery and Azure Backup. ● Deployment and management of VMs on Azure, including virtual networks, Azure AD, and SQL. ● With a proven track record of 4+ years in Azure Cloud Services (PaaS & IaaS), Azure Synapse Analytics, SQL Azure, Data Factory, Azure Analysis Services, Application Insights, Azure Monitoring, Key Vault, Azure Data Lake. ● Experienced in integrating cloud services with On-premises technologies from various vendors. ● Designed and configured hybrid cloud environments, seamlessly blending on-premises and cloud resources. ● Architecting and configuring public/private cloud infrastructures utilizing AWS, including EC2, Elastic Load Balancers, Elastic Container Service (Docker Containers), S3, RDS, DynamoDB, VPC, Direct- Connect, Route53, CloudWatch, CloudFormation, and IAM. ● Experienced in designing and planning cloud architectures, developing dynamic cloud solutions for diverse requirements. ● Extensive experience in working with Cloud Foundry, a powerful platform-as-a-service (PaaS) solution, enabling seamless deployment and scaling of applications. ● Demonstrated ability to manage and optimize workloads using TKGI, showcasing expertise in orchestrating and maintaining Kubernetes clusters. ● Over 5 years of experience in crafting automation scripts to support Infrastructure as Code (IAC) in AWS and Azure, complemented by adept Linux and Windows administration skills. ● Extensive experience in AWS for deploying various EC2 instances on Oracle Linux, RHEL, CentOS, Ubuntu, and Solaris in both Linux and Windows environments. ● Proficiency in Python scripting to interact with cloud platforms such as AWS, Azure, and Google Cloud. ● With a background exceeding 4 years in Vagrant, AWS, and Kubernetes-based container deployments for streamlined development and release processes. ● Having spent over 4 years in GCP tools, including Cloud Build, Cloud Source Repositories, and Container Registry, to implement DevOps practices and CI/CD pipelines. ● High availability (HA) and disaster recovery (DR) solution design and implementation using GCP services, including Google Cloud Storage and Cloud Spanner. ● Skilled in GCP's monitoring and logging tools, such as Stackdriver, for proactive performance monitoring, troubleshooting, and automated alerting. ● Experienced in data analytics and machine learning on GCP, utilizing services such as BigQuery, Dataflow, and AI Platform to extract actionable insights from large datasets. ● Adept at GCP container orchestration with Kubernetes Engine. ● Proficiency in Kubernetes for automating containerized application deployments, scaling, and management. ● Hands-on experience in setting up and managing Kubernetes clusters, encompassing node configuration, network policies, and cluster security. ! ● Terraform CLI proficiency for creating and managing Terraform configurations and state files. ● Expertise in writing custom Ansible modules and plugins to extend automation capabilities, tailored to specific infrastructure and application requirements, fostering adaptability and versatility in automation tasks. ● Deployed and configured EMC Storage with RAID configurations including 0, 1, and 5. ● Hands-on experience with configuration management tools such as Puppet, Ansible, and Chef, complemented by familiarity with Salt. ● Implementing Infrastructure as Code (IaC) principles using Chef to manage infrastructure through code, along with expertise in Chef resources for system components management. ● Proficiency in designing data models, defining schemas, and creating entity-relationship diagrams for database structures. ● In-depth understanding of Chef's RBAC system for user access control within the Chef organization. ● Helm expertise, including the customization of chart configurations and parameterizing deployments. ● Knowledge of ArgoCD for continuous synchronization and reconciliation of desired application states in Kubernetes clusters. ● Hands-on experience with SQL and NoSQL databases, including MongoDB, Cassandra, and Redis. ● Experienced in Big Data in implementing end - to-end Hadoop solutions and analytics using various Hadoop distributions like Cloudera Distribution of Hadoop (CDH), Hortonworks sandbox (HDP) and MapR distribution. ● Experienced in working with Spark eco system using SCALA and HIVE Queries on different data formats like Text file and parquet. ● Experienced in Apache Spark for implementing advanced procedures like text analytics and processing using the in-memory computing capabilities written in Scala. ● Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle. ● Hands on experience in installing, configuring and using Apache Hadoop ecosystem components like Hadoop Distributed File System (HDFS), MapReduce, PIG, HIVE, HBASE, Apache Crunch, ZOOKEEPER, SCIOOP, Hue, Scala, Solr, Git, Maven, AVRO, JSON and CHEF. ● Extensive experience in loading and analyzing large datasets with Hadoop framework (MapReduce, HDFS, PIG, HIVE, Flume, Sqoop, SPARK, Impala, Scala), NoSQL databases like MongoDB, HBase, Cassandra. ● Experience in analyzing data using HiveQL, and custom Map Reduce programs. ● Proficiently designing, implementing, and managing various VPCs, public/private subnets, and associated resources using CIDR blocks, Route Tables, Security Groups, and Elastic Load Balancers. ● Extensive Git expertise, including Git workflows, branching strategies, merging, and conflict resolution, bolstered by a strong GitHub presence. ● Automated diverse tasks using Shell scripts and WLST (WebLogic Scripting Tool) scripts, including OSB export and import, SOA application deployment, and WebLogic deployment. ● Docker CLI expertise for container management and orchestration. ● Management of Jenkins jobs, pipeline creation, and Dockerized build environment configuration. ● Having worked professionally for more than 4 years in managing a diverse range of operating systems, including Linux distributions (e.g., Red Hat, Ubuntu, CentOS) and Windows Server editions, to meet the specific needs of complex infrastructure environments. ● Agile and Scrum methodology experience, with in-depth familiarity with JIRA and Waterfall models.
Skills & Expertise (20)
Work Experience
Sr. Cloud Infra Engineer
Wells Fargo, Dallas, USA. Remote
1-2023 - Present
1. Deploying Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) within secure VNets and subnets, ensuring robust security and scalability. 2. Implemented and managed Tanzu Kubernetes Grid Integrated (TKGI) for container orchestration, ensuring seamless deployment and scaling of applications. 3. Demonstrated proficiency in configuring and optimizing TKGI clusters to meet specific project requirements, enhancing overall system performance. 4. Collaborated with cross-functional teams to integrate TKGI into the CI/CD pipeline, enabling automated deployment of microservices. 5. Utilized TKGI's capabilities for resource allocation, load balancing, and networking to optimize application performance in a cloud-native environment. 6. Spearheading the design and implementation of build and release methodologies on the Azure platform, optimizing the software development lifecycle. 7. Leveraging Azure Functions for serverless computing, configuring HTTP Triggers with Application Insights for application monitoring, and conducting load testing via VSTS. 8. Extensive experience with Azure services, including Azure Web Apps, Azure Data Factory & Storage, Azure Media & Content Delivery, Azure Networking, and Azure Identity & Access Management (IAM). 9. Developing Azure infrastructure as code using Terraform, integrating Azure Log Analytics for monitoring and metrics tracking. 10. Leading the migration from GitLab to Docker and the implementation of GitLab within Docker containers. 11. Automating diverse workflows with Python scripts and Linux bash scripting, enhancing operational efficiency. 12. Leveraged GCP's data analytics services, including Big Query, Dataflow, and Dataprep, to process and analyze large datasets, extracting valuable insights for data-driven decision-making. 13. Demonstrating proficiency in Google Cloud Platform (GCP) data analytics services, including BigQuery for data warehousing and Dataflow for real-time data processing. 14. Configuring and deploying hypervisors and Virtual Machines on Google Cloud Platform (GCP) for development, testing, and production environments. 15. Implemented robust security controls and compliance measures on GCP, adhering to industry standards like CIS Benchmarks and HIPAA, and conducting regular security audits and vulnerability assessments. 16. Creating and managing infrastructure using GCP and Terraform, automating resource provisioning and management. 17. Demonstrated expertise in container orchestration using Kubernetes within the OpenShift environment, ensuring optimal resource utilization and application performance. 18. Leading migration projects to GCP, including comprehensive planning, execution, and optimization phases. 19. In-depth knowledge of GCP's networking features, including Virtual Private Cloud (VPC), Cloud Load Balancing, and Cloud Interconnect for secure and efficient network architecture. 20. Deployed and configured Elasticsearch to provide a scalable and high-performance search and analytics engine. 21. Implemented Logstash to centralize and process logs from various sources, facilitating the parsing and normalization of diverse log formats. 22. Leveraged Kibana as a powerful visualization tool to create interactive dashboards and reports based on Elasticsearch data. 23. Established end-to-end log analysis and monitoring solutions using ELK stack, enabling comprehensive visibility into system behavior and performance. 24. Implemented strategies for scaling ELK stack components horizontally to handle growing data volumes and ensure consistent performance. 25. Implementing Kubernetes architecture, including control plane components and worker nodes. 26. Managing multi-cloud and hybrid cloud environments using Terraform for infrastructure provisioning and management. 27. Conducted performance tuning and optimization of OpenShift clusters and applications to meet performance benchmarks and user expectations. 28. Proficiency in creating dynamic configuration files using Chef templates for different environments.
Education
Silicon Valley University Masters in computer science Sanjose, CA, USA
2015 - 2016 · United States
