HENRY KENDALL

408-***-****

ad1qab@r.postjobfree.com

Summary

●Technology professional with strong AWS, GCP, Azure, DevOps, Rancher, Terraform, GO, Python, Cloud, Architecture, Kubernetes, OpenShift, Blockchain, AI, Large Language Models, Data Science, Quality Analytics, NLP pipeline, Machine Learning, Artificial Intelligence, ETL pipelines, Statistics, AutoML, Vertex AI, Workbench, Google Kubernetes Engine (GKE), Anthos, BigQuery, Tensorflow, Compute Engine, Cloud Storage, Vision AI, Cloud Run, CI/CD, Cloud Security Automation, Azure DevOps, VMWare, Web Application Firewalls (WAF), DevOps, Kafka, Application Architecture, Quarkus, RedHat, Terraform, Kubernetes, JFrog Artifactory, Docker, Istio, Ansible, GCP, Linux, LDAP, Perl, Gitlab, Java, Jenkins, Kafka, Big Query, Big Data, Hadoop, Spark, RESTful Web Services, VMware, Docker, Ansible, CI/CD, Jenkins, Spinnaker, CodePipeline, TeamCity, Bamboo, OpenShift, CloudFormation, Vertica, Cassandra, Redshift, Kinesis, Hadoop, Hive, HDFS, MapReduce, Spark, Hive, Scala, NumPy, SciPy, scikit-learn, pandas, Azure, Ruby, Cloud Native, Linux, Go, Microservice, API, git, Scala, Bash Shell, Service Mesh, Istio, Spinnaker, Helm, Elasticsearch, Windows, Chef, Scripting, PowerShell, DSC, Puppet, web server, application server, database, Active Directory, OpenLDAP, Exchange, Nimble Storage, Macintosh, DynamoDB, Blockchain, Solidity, Jenkins, Bamboo, MongoDB, CentOS, Tomcat, OpenStack, virtualization, Salt, IaaS, Docker Swarm, UNIX, Nginx, Apache, MySQL, storage, NetApp, EMC, Cisco, Splunk, CheckPoint, firewall, security and network experience

●Strong experience with AWS services including EKS, EC2, S3, ECS, Lambda, Aurora, RDS, AWS key manager, VPCs, on-prem/AWS connectivity (ingress,egress), EMR, Batch, SQS, SNS, RDS, Step, AWS Cognition, X-Ray, Redshift, RDS, Aurora, DocumentDB, DynamoDB, CloudFormation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, Kinesis, ELB, IAM, CodeDeploy and other services

●Strong experience with Google Cloud Platform (GCP) including AutoML, Vertex AI, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run and other services

●Proficiency in designing, implementing, and maintaining ETL pipelines, with a deep understanding of data processing frameworks and tools

●Strong experience with Azure including Azure DevOps, Azure Virtual Machines, Azure Active Directory, Azure Cosmos DB, API Management, Azure Content Delivery Network, Azure Kubernetes Service, Azure Backup, Azure Site Recovery, Logic Apps and Azure Bots and other Azure services

●Hands-on experience in AWS, GCP and Azure Public Sector working on large scale production workloads/projects.

●Governance, Risk and Compliance experience including working knowledge of Federal regulatory concerns

●Security Policy Assessment & Development Experience

●Experience in System Administration, Software development, Design Architecture, and/or implementation experience.

●Experience in GCP and AWS IAM and other APIs

●Experience in creating automated processes using well-known languages and frameworks (e.g., PowerShell, python, Java, YML, Json, Ansible, Jenkins pipeline).

●Experience in Terraform, Cloudformation, and ARM templates.

●Experience in core AWS/GCP Services (e.g., IAM, Service Accounts/Roles & Keys

●Experience with Encryption Keys, Object Storage, Logging, Monitoring and Serverless Functions

●Demonstrated technical expertise and comprehensive knowledge of design of infrastructure to support a high volume, multi-tier website.

●Ability to influence across all organizational levels, particularly senior management

●Strong experience with configuring and supporting application server software such as Apache Tomcat, WebLogic, MQ, Databases, etc.

●Strong experience with designing and implementing High Availability Database Configurations.

●Strong experience with Linux O/S capabilities.

●Strong experience with VMWare Virtualization technologies.

●Strong experience with designing and implementing solutions using security appliances such as Web Application Firewalls (WAF).

●Proficient in API Security Practices including configuring API Security (OAuth, JWT, 2-way SSL, etc.) on Kafka.

●Advanced understanding/exposure to overall API-Management concepts.

●Proficient in API Management features and multiple topologies to implement API runtimes

●Experience with CI/CD tools like Azure DevOps, Git, Jenkins, and Jira and automated testing of APIs.

●Deep understanding of Istio, Kubernetes and Docker architecture and associated tools.

●Experience in Kafka Capacity planning, installation, administration/Platform management and deep knowledge of Kafka internals

●Experience in Kafka Cluster, Partitions, Security, Disaster recovery, Data pipeline, Data replication, Performance optimization

●Experience with Kafka Confluent / Apache framework, Kafka SQL KSQL, Kafka Connect and the Kafka Streaming APIs

●Experience of Kafka Producer/Consumer Microservices concepts and Kafka distributed Architecture

●Experience in confluent replicator Configuration to perform replication between the clusters in a multi-region environment. Knowledge of Zookeeper

●Strong Google Cloud Platform (GCP) including AutoML, Vertex AI, AutoML, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, Hadoop, Java, Hive, HDFS, MapReduce, Spark and Scala experience

●Strong experience in writing cloud automation scripts and code including Python, Terraform, CloudFormation and ARM Templates creation

●Strong experience with Chef, Puppet, Salt, Ansible, Jira, GitHub, Maven and Jenkins.

●Strong experience with version control systems (Git)

●Strong experience with Agile scrum processes

●Excellent communication and documentation skills

●Excellent team working and problem-solving skills, demonstrated ability to be a mentor in training people.

●Strong experience in taking a lead role in architecting, designing, and building complex software systems

●Strong experience in customer-facing, high-availability, large scale environments

●Strong CloudWatch, New Relic, Nagios, Ganglia and Logstash experience

Skills:

●Lockheed Martin Artificial Intelligence Center - Training in Artificial Intelligence, Expert Systems, Object Oriented Programming, LISP, and PROLOG. Developed Expert Systems

●Courses in OpenShift, Large Language Models, Machine Learning, Artificial Intelligence, Google Cloud Platform (GCP) including AutoML, Vertex AI, AutoML, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow),, NumPy, SciPy, scikit-learn, pandas, Compute Engine, Cloud Storage, Vision AI, Cloud Run, Kubernetes, Helm, Docker, Istio, LDAP, Perl, Python, Gitlab, Kubernetes, Java, REST, AWS, EMR, EKS, EC2, S3, ECS, SQS, SNS, RDS, Step, AWS Cognition, X-Ray, Lambda, Batch, Redshift, RDS, Aurora, DocumentDB, DynamoDB, CloudFormation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, Kinesis, ELB, IAM, CodeDeploy, Elastic Search, Kibana, GCP, Java, Kafka, Big Query, RESTful Web Services, OpenShift, Hadoop, Hive, HDFS, Pig, Hive, HBase, MapReduce, Java, Spark, Scala, Python, NumPy, SciPy, scikit-learn, pandas, Azure, Linux, Ansible, OpenShift, Go, Microservices, APIs, Shell Scripting, Xml, C, C++, Java Script, Istio, Service Mesh, SDN, NFV, Linux, Go, Big Data, SCCM, SCOM, Scala, OpenStack, Jenkins, Cloud, PHP, Puppet, Ruby, Nginx, Docker, Cassandra, Flume, Network Appliance, UNIX, SunOS, Solaris, Red Hat Linux, SUSE Linux, MySQL, Network Management, Data Communications, TCP/IP, HTML, SMTP, SNMP, SQL, Sybase, Oracle, VMware, Security+, CISSP

Professional Experience

IBM, New York, New York

Senior Cloud Architect June 2023 - Present

●Architect, develop, build and operate infrastructures utilizing Kubernetes, Terraform, GO, Python, OpenShift, AWS, Rancher, GCP, Azure, Blockchain, Large Language Models, Openshift, NLP pipelines, Machine Learning, Artificial Intelligence, Kubernetes,, NumPy, SciPy, scikit-learn, pandas, ETL pipelines, Google Cloud Platform (GCP) including AutoML, Vertex AI, AutoML, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, Kafka, Python, Gitlab, Linux, Java and Terraform

●Maintain and support platform deployment software, including Kubernetes, Rancher, OKE, GKE, IKS and EKS.

●Develop and maintain automation via Terraform, GO, Python, Jenkins, and Ansible.

●Build and Manage CI/CD Solutions

●Responsible for automated deployment, continuous integration, and release engineering

●Work on cutting-edge features of Kubernetes like Ingress, Stateful Sets, etc.

●Migrate existing infrastructures to Openshift and to Kubernetes

●Collaborate with the modeling team to operationalize and deploy new machine learning models from proof of concept to production

●Develop and maintain a scalable and reliable back-end infrastructure to deploy NLP models as APIs

●Develop and coordinate cloud architecture across diverse areas including application development, identity and access management, network and data management, and security.

●Architect cloud-native, hybrid, or multi-cloud solutions to meet the client’s needs.

●Develop architectural artifacts to lead the delivery of a successful implementation.

●Engage with technical stakeholders of the client and third parties to understand how their systems work.

●Collaborate with other security and cross functional teams to implement solutions across various lines of business.

●Responsible for accurate communication of the status of ongoing work to stakeholders, including project management and senior managers.

●Document and create playbooks for administrative/support actions to be used by Production Support.

●Collaborate with modeling teams to bring new models from proof of concept (PoC) to production.

●Responsible for creating robust back-end infrastructures to deploy NLP models as APIs

●Deploy machine learning models into production using Python.

●Build and maintain data pipelines and infrastructure.

Acxiom Jan 2022 - May 2023

Senior Cloud Architect

●Architect, develop, build and operate infrastructures utilizing Kubernetes, OpenShift, AWS, Rancher, GCP, Azure, Blockchain, NLP pipelines, Machine Learning, Artificial Intelligence, Kubernetes, ETL pipelines,, NumPy, SciPy, scikit-learn, pandas, Google Cloud Platform (GCP) including AutoML, Vertex AI, AutoML, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, Kafka and Python, Gitlab, Linux, Java and Terraform

●Build and Manage CI/CD Solutions

●Responsible for automated deployment, continuous integration, and release engineering

●Work on cutting-edge features of Kubernetes like Ingress, Stateful Sets, etc.

●Migrate existing NLP pipelines to the Google Cloud Platform (GCP) and to AWS

●Collaborate with the modeling team to operationalize and deploy new machine learning models from proof of concept to production

●Develop and maintain a scalable and reliable back-end infrastructure to deploy NLP models as APIs

●Develop and coordinate cloud architecture across diverse areas including application development, identity and access management, network and data management, and security.

●Architect cloud-native, hybrid, or multi-cloud solutions to meet the client’s needs.

●Develop architectural artifacts to lead the delivery of a successful implementation.

●Engage with technical stakeholders of the client and third parties to understand how their systems work.

●Collaborate with other security and cross functional teams to implement solutions across various lines of business.

●Responsible for accurate communication of the status of ongoing work to stakeholders, including project management and senior managers.

●Document and create playbooks for administrative/support actions to be used by Production Support.

●Migrate existing NLP pipelines to the Google Cloud Platform (GCP)

●Collaborate with modeling teams to bring new models from proof of concept (PoC) to production.

●Responsible for creating robust back-end infrastructures to deploy NLP models as APIs

●Deploy machine learning models into production using Python.

●Build and maintain data pipelines and infrastructure.

●Architect, develop, build and operate infrastructures utilizing GCP, DevOps, Apache/NGINX, Python,, NumPy, SciPy, scikit-learn, pandas, Ruby, Go, Azure, Azure DevOps, AWS, Terraform, Kafka, Helm, Docker, Istio, Artificial Intelligence, Machine Learning, Big Data, Hadoop, and Spark

●Responsible for Third party vendor management, Application security assessment, Cloud security and Security engineering

●Responsible for developing and managing cloud server infrastructure and networks, Hadoop Clusters, monitoring and improving system performance, building and maintaining CI/CD systems that run the automated testing systems and formulating security mechanisms.

TCS Jan 2021 - Jan 2022

Senior Cloud Architect

●Architect, develop, build and operate infrastructures utilizing Kubernetes, OpenShift, AWS, Rancher, GCP, Azure, DevOps, Cloud, Architecture, Blockchain, Python, GCP, DevOps, Blockchain, Java, NoSQL, Artificial Intelligence, Machine Learning, Linux, Ansible, CI/CD, Jenkins, Spinnaker, Rancher, Artifactory, Git, Gitlab, Terraform, Sentinel, Prisma, Kubernetes, Docker,, NumPy, SciPy, scikit-learn, pandas, VMware, Kafka, Helm, Docker, Istio, AWS Connect, Kinesis, AWS key manager, VPCs, RDS, EFS, AWS IAM authentication, connecting PostgreSQL to IAM, AWS scheduler, LDAP, Perl, EKS, EC2, S3, ECS, SQS, SNS, RDS, Step, AWS Cognition, SageMaker, X-Ray, Lambda, Batch, Redshift, Aurora, DocumentDB, DynamoDB, CloudFormation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, ELB, IAM, EMR, CodeDeploy, Elasticsearch, Kibana, GCP, Big Query, RESTful Web Services, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, Spark, Scala, Ruby, Windows, Microservices, Service Mesh, Istio, DevOps, Helm, APIs, CloudFormation, Artificial Intelligence, Machine Learning and Chef

●Responsible for Third party vendor management, Application security assessment, Cloud security and Security engineering

●Build and Manage CI/CD Solutions

●Responsible for automated deployment, continuous integration, and release engineering

●Work on cutting-edge features of Kubernetes like Ingress, Stateful Sets, etc

●Responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure.

●Responsible for developing and managing cloud server infrastructure and networks, monitoring and improving system performance, building and maintaining CI/CD systems that run the automated testing systems and formulating security mechanisms.

●Develop with continuous integration (CI/CD) and automation tools such as GIT, SVN, Jenkins, Chef, Ansible and Puppet.

●Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux

●Develop detailed technical documentation that can be used across teams.

●Participate in on-call rotation, providing support for automation systems when needed.

Infosys June 2017 - Dec 2020

Lead Consultant

●Architect, develop, build and operate infrastructures utilizing Kubernetes, OpenShift, AWS, Rancher, GCP, Azure, DevOps, Cloud, Architecture, Blockchain, Python, NLP pipelines, Machine Learning, Artificial Intelligence, Kubernetes, ETL pipelines, Google Cloud Platform (GCP) including AutoML, Vertex AI, AutoML, Vertex AI Workbench, BigQuery, Anthos, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, Kafka and Python, Gitlab, Linux, Java and Terraform

●Migrate existing NLP pipelines to the Google Cloud Platform (GCP)

●Collaborate with the modeling team to operationalize and deploy new machine learning models from proof of concept to production

●Develop and maintain a scalable and reliable back-end infrastructure to deploy NLP models as APIs

●Develop and coordinate cloud architecture across diverse areas including application development, identity and access management, network and data management, and security.

●Architect cloud-native, hybrid, or multi-cloud solutions to meet the client’s needs.

●Architect, develop, build and operate infrastructures utilizing AWS, Java, NoSQL, Azure, GCP, CI/CD, Jenkins, Linux, REST, Terraform, Jenkins, Ansible, Kubernetes, Python, Argo, Kafka, Helm, Docker, Istio, AWS key manager, VPCs, on-prem/AWS connectivity, Aurora, RDS, EFS, AWS IAM authentication, connecting PostgreSQL to IAM, AWS scheduler, LDAP, Perl, Gitlab, EMR, EKS, EC2, S3, ECS, SQS, SNS, RDS, Step, AWS Cognition, SageMaker, X-Ray, Lambda, Batch, Redshift, Aurora, DocumentDB, DynamoDB, CloudFormation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, Kinesis, ELB, IAM, EMR, CodeDeploy, Elasticsearch, Kibana, GCP, Big Query, RESTful Web Services, Google Kubernetes Engine (GKE), Managed ML (Tensorflow), Compute Engine, Cloud Storage, Vision AI, Cloud Run, VMware, Rancher, Artifactory, Git, GitHub, Spark, Scala, Ruby, Windows, Microservices, Service Mesh, DevOps, APIs, CloudFormation, OpenShift, Artificial Intelligence, Machine Learning, C, Ruby, Redshift, Big Data, Hadoop, Spark, Cassandra, Chef, TFS, OpenStack, Puppet, ELK Stack and Kafka

●Build and Manage CI/CD Solutions

●Responsible for automated deployment, continuous integration, and release engineering tools including Nagios, Zabbix, Cacti, New Relic, Graphite

●Work on cutting-edge features of Kubernetes like Ingress, Stateful Sets, etc.

●Build real-time data streaming pipelines using Kafka and Spark streaming

●Use Elasticsearch to index data for full-text search and ad hoc queries.

●Build Docker deployment pipelines using Kubernetes, Helm charts and Airflow

●Responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure.

●Responsible for developing and managing cloud server infrastructure and networks, monitoring and improving system performance, building and maintaining CI/CD systems that run the automated testing systems and formulating security mechanisms.

●Develop with continuous integration (CI/CD) and automation tools such as GIT, SVN, Jenkins, Chef, Ansible and Puppet.

●Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux

●Develop detailed technical documentation that can be used across teams.

●Participate in on-call rotation, providing support for automation systems when needed.

Blue Chip Tek, Santa Clara, CA July 2016 - June 2017

DevOps Solutions Architect

●Develop, build and operate sophisticated and highly automated infrastructures utilizing GCP, AWS, Java, NoSQL, Python, Docker, Kubernetes, Helm, Terraform, GCP, AWS key manager, VPCs, on-prem/AWS connectivity, EFS, AWS IAM authentication, connecting PostgreSQL to IAM, AWS scheduler, LDAP, Perl, Python, Gitlab, Linux, Java, Elasticsearch, REST, AWS, Terraform, Jenkins, Ansible, EMR, EKS, EC2, S3, ECS, SQS, SNS, RDS, Step, AWS Cognition, X-Ray, Lambda, Batch, Redshift, RDS, Aurora, DocumentDB, DynamoDB, CloudFormation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, Kinesis, ELB, IAM, EMR, CodeDeploy, GCP, Java, Kafka, Big Query, RESTful Web Services, VMware, Linux, Docker, Kubernetes, Ansible, CI/CD, Jenkins, Spinnaker, GCP, BigQuery, Compute Engine, Cloud Storage, AWS, CloudFormation, Hadoop, Hive, HDFS, Pig, Hive, HBase, MapReduce, Java, Spark, Scala, RedHat, OpenShift, Go, Helm, Tensorflow, Cloudformation, VPC, Route53, Beanstalk, CloudTrail, CloudWatch, Kinesis, ELB, IAM, EMR, Redshift, CodeDeploy, Big Data, Chef, Scripting, PowerShell, Chef, DSC, Puppet, Active Directory, OpenLDAP, Exchange and Nimble Storage

●Responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure.

●Build and Manage CI/CD Solutions with Linux, Jenkins, Ansible and OpenShift

●Responsible for developing and managing cloud server infrastructure and networks, monitoring and improving system performance, building and maintaining CI/CD systems that run the automated testing systems and formulating security mechanisms.

●Develop with continuous integration (CI/CD) and automation tools such as GIT, SVN, Jenkins, Chef, Ansible, and Puppet.

●Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux.

●Build and develop Microservices and IaaS infrastructure with experience in AWS CodeDeploy, Docker Swarm, Kubernetes and Mesos.

DevOps Engineer/Consultant Oct 2015 - Jul 2016

●Architect, develop, build and operate infrastructures utilizing GCP, NLP, Artificial Intelligence, Machine Learning, Linux, Ansible, CI/CD, Jenkins, Artifactory, Git, Gitlab, Java, Terraform, Kubernetes, Docker, VMware, Python, Kafka, AWS, GCP, Azure, Elasticsearch, RESTful Web Services, Hadoop, Spark, Scala, Ruby, Windows, DevOps, APIs, Java and Chef

●Clients included SalesForce, Uber, and Wipro

●Responsible for developing and managing cloud server infrastructure and networks, Hadoop Clusters, monitoring and improving system performance, building and maintaining CI/CD systems that run the automated testing systems and formulating security mechanisms.

●Build and Manage CI/CD Solutions

●Develop, build and operate sophisticated and highly automated infrastructures utilizing Terraform, AWS, Azure, GCP, Python, Gitlab, Terraform, Jenkins, Ansible, C++, Hadoop, Hive, HDFS, Pig, HBase, MapReduce, Java, Spark, Scala, Big Data, Chef, Linux, Windows, SCCM, SCOM, Scripting, PowerShell, DSC, Puppet, Active Directory, OpenLDAP, Exchange, Nimble Storage, Macintosh, Docker and VMware.

●Develop with continuous integration (CI/CD) and automation tools such as GIT/SVN, Jenkins, Chef, Ansible, and Puppet. Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux.

●Troubleshoot issues with production automation system, perform root-cause analysis and automate manual tasks.

●Work with various IT and infrastructure teams to estimate usage requirements, troubleshoot environmental issues and roll out new technologies to new hardware.

●Plan and execute on maintenance activities and internal software deployments.

●Develop detailed technical documentation that can be used across teams.

●Participate in on-call rotation, providing support for automation systems when needed.

●Build repeatable infrastructures. Automate with Chef, Puppet, Salt and Ansible.

NASA, Mountain View, CA May 2015 – Oct 2015

Sr Systems Administrator

●Develop, build and operate sophisticated infrastructures using LDAP, Perl, Python, Gitlab, Hadoop, Spark, AWS, Docker, Openstack, Azure, Linux, PostgreSQL, and VMWare.

●Utilize Linux, PostgreSQL, AWS CloudFormation, Opswork, Elastic Beanstalk, Code Deploy, Pipeline/Commit, Openstack Heat, Cloudify and DSLs such as YAMLJSON.

●Develop with continuous integration (CI/CD) and automation tools such as GIT/SVN, Jenkins, Chef, Ansible, and Puppet.

●Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux.

●Perform system monitoring, problem analysis and system administration.

●Responsible for server hardening and security.

●Systems administration, installation, and patching.

Fujitsu Sep 2014 – May 2015

Sr Systems Engineer

●Develop infrastructure solutions based on LDAP, Perl, Python, SCCM, SCOM, Scala, Jenkins, Cloud, AWS, Azure, Puppet, Chef, OpenStack, Ruby, Python, Linux, Nginx, VMware, Docker, Active Directory, System Center, Hadoop, UNIX, EMC, NetApp, Cisco, Windows, PowerShell, Microsoft SQL, Microsoft IIS, Splunk and other technologies.

●Build and manage hybrid cloud server networks in development, QA and production environments.

●Provision managed services and associated products to customers. Automate with Bash, Puppet, Chef and other tools.

●Computer operations and systems administration using Windows, Scripting, PowerShell, Chef, DSC, Puppet, Active Directory, OpenLDAP, VMware, Exchange, Nimble Storage, Macintosh, AWS, CentOS, OpenStack, Python, Linux, UNIX, Nginx, Nagios, EMC, Windows, VMware and other technologies.

●Manage systems and applications in Windows, Active Directory, OpenLDAP, VMware, Exchange, Nimble Storage, Macintosh, Azure, AWS, OpenStack, CentOS and Ubuntu environments.

Stowe Group Nov 2013 – Sep 2014

Technical Implementation Specialist

●Develop infrastructure solutions based on LDAP, Perl, Python, Windows, Linux, Scripting, PowerShell, Chef, DSC, Puppet, Active Directory, OpenLDAP, VMware, Exchange, Nimble Storage, Macintosh, Jenkins, VMware, Cloud, AWS, OpenStack, Puppet, Chef, PHP, Ruby, Python, PowerShell, Microsoft SQL Server, Microsoft IIS, Splunk, Hadoop, Hive, Pig, HDFS, UNIX, NetApp, Cisco and other network technologies.

●Automate System and Network Administration activities. Install, configure, and perform upgrades on system management tools including Chef, Puppet, Splunk, and Nagios.

●Work on the deployment of web-based applications.

●Duties include server patching and maintenance, maintaining system documentation, tuning system performance, installing system wide software and remote administration of offsite assets.

●Make recommendations to purchase hardware and software, coordinate installation and provide backup recovery. Led teams supporting server refresh.

Lockheed Martin Enterprise Information Systems, Sunnyvale, CA Jan 2000 – Nov 2013

Senior Systems Administrator, Senior Computer Systems Analyst

●Perform system administration activities such as provisioning and troubleshooting using LDAP, Perl, Python, Linux, Windows, SCCM, SCOM, Scripting, PowerShell, Chef, DSC, Puppet, Active Directory, OpenLDAP, VMware, Exchange, Nimble Storage, Macintosh, AWS, Azure, OpenStack, CentOS, Red Hat Linux, SUSE Linux, Solaris, NetApp and EMC Storage.

●Automate System and Network Administration activities.

●Develop with continuous integration (CI/CD) and automation tools such as GIT/SVN, Jenkins, Chef and Puppet.

●Develop with Linux Containers including Docker and LXC and with KVM and XEN virtualization technologies on Ubuntu and RedHat Linux. Analyze data with Hive, Pig and Hadoop Streaming.

●Perform system administration activities such as provisioning and troubleshooting on Windows, Scripting, PowerShell, Chef, DSC, Puppet, Active Directory, OpenLDAP, VMware, Exchange, Nimble Storage, Macintosh, Red Hat Linux, CentOS, SUSE Linux, Solaris, NetApp and EMC Storage.

●Automate System and Network Administration activities.

●Install, configure, and perform upgrades on system management tools including Splunk, Foglight, R-Syslog, Sendmail, NetBackup, Puppet and Nagios.

●Perform System monitoring, problem analysis and system administration.

●Provide after hours and weekend support.

●Perform analysis to ensure security compliance.

●Provide VM performance monitoring and capacity management.

●Perform server performance and capacity management.

●Duties included server patching and maintenance, maintaining system documentation, tuning system performance, installing system wide software and remote administration of offsite assets.

●Interact with users and evaluate vendor products.

●Make recommendations to purchase hardware and software, coordinate installation and provide backup recovery.

●Develop and monitor policies and standards for allocation related to the use of computing resources. Provide recommendations for improving the server environment. Won several SPOT Awards

Lockheed Martin Enterprise Information Systems, Sunnyvale, CA Jan 1997 – Jan 2000

Senior Computer Systems Analyst

●Linux, UNIX and Windows system administration and development.

●Set-up and administered accounts and groups, shared folders and files and assigned permissions.

●Installed and configured DNS, DHCP, Solaris, SunOS, HP/UX and IRIX.

●Installed Solaris, SunOS, HP/UX, IRIX and Windows.

●Provided recommendations for improving the server environment.

Lockheed Martin Missiles and Space Company, Sunnyvale, CA Jun 1988 – Jan 1997

Data Systems Programmer Senior, Data Systems Programming Analyst, and Computer Systems Manager

●Supported over 10 New Business Proposals setting up networks, servers and workstations in more than 5 buildings in Sunnyvale as well as in Orlando, Florida, in Crystal City, Virginia and in Sacramento, California.

●Planned, designed, and maintained Windows, Novell, UNIX, and Apple computer networks and links to Sun, Hewlett-Packard, IBM, VAX and Tandem computers.

●Analyzed network activity and throughput to define requirements and recommend hardware, software, and configurations that maintain network operational readiness and efficiency.

●Installed, configured, and maintained UNIX, SunOS, Solaris, HP/UX, security control software, Ethernet, TCP/IP, Windows, Novell Netware, Macintosh, NFS client and cross platform software and hardware.

●Responsible for user interface and support. Assisted users with hardware, software and network usage problems.

●Perform patch panel and punch down block connections.

●On-call network support. Ensured data integrity and security by installing and maintaining network backup systems.

●Generated network security requirements, plans and procedures and train users on secure operation of network resources.

●Designed and installed secure encrypted T-1, ISDN, Switch-56, and modem links between Lockheed and other

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