Technologies: Azure, Apache, FTP, DNS, Kickstart, Jenkins, SSH, Putty, MySQL, NFS, SonarQube, Nexus, GitLab, Jira, Confluence, Ansible, Samba, Docker, svn, Integration, Automation, Monitoring, Installation, Configuration, Maintenance, User Management, Documentation, Patching, Networking, Linux, Unix, Analysis, Troubleshooting, AWS Codecommit, AWS Codebuild, AWS Codepipeline, Windows, Mac, Cloudformation, Kubernetes, AWS CDK, NIS, NIS+, LDAP, DHCP, NAS, Puppet, MAVEN, DB2, Amazon EC2, Amazon Virtual Private Cloud (VPC), SAP ECC, S4 Hana, Smart Data Integration, Smart Data Quality, EnterpriseHub, Data Services, Sap, UI5, Hana SQL, Python, Hive, Hadoop, SQOOP, Apache Spark, Cassandra, IDOC

Industries: Fintech (Financial Technology), Big Data and Analytics

Education:

Kennesaw State University Bachelor of Science, Computer Science Marietta, GA July 2016

Experience:

Redacted Company DevOps Engineer / Software Engineer (May 2020 – Current)

• Building Network and Security groups in Azure
• Building CI/CD pipelines in Azure devops
• Upgrading kubernetes cluster in Azure
• Setting up monitoring solutions in AKS cluster
• Setting up monitoring solutions in AKS cluster
• Standing up AKS cluster / resources in Azure using Terraform
• Provide support for implementation, troubleshooting and maintenance of IT systems for multiple environments.
• Build CI/CD pipeline to include tools like Jenkins, SonarQube, AWS Codecommit, AWS Codebuild, AWS Codepipeline, and GitLab.
• Provide and document problem identification, diagnosis, and resolution of issues within a timely manner.
• Support and manage svn for repository and version control.
• Document processes, procedures, configurations, and deployment plans.
• Responsible for reliability of machines and hardware, including software and hardware updates, installing new programs.
• Suggest and implement proper tooling around monitoring and logging to enhance visibility into production applications.
• Identify, troubleshoot, and restore network, server and client systems as outages occur or as needed daily.
• Provide support for the dispatch system and hardware problems and remain involved in the resolution process.
• Configure and manage UNIX and Windows operating systems.
• Install/load operating system and application software.
• Manage system infrastructure and any processes related to these systems.
• Provide support for the escalation and communication of status to agency management and internal customers.
• Installs new software releases and system upgrades, evaluates, and installs patches and resolves software conflicts.
• Deploy solutions for administration of systems of Mac and Linux systems.
• Ability to interface with various stakeholders and be able to troubleshoot complex application performance issues.
• Isolate and resolve hardware and software issues involving the applications, the operating system, the hardware, the communications infrastructure.
• Train new users and developers to use standard applications, equipment, and business applications.
• Participate as needed in off-hours support.
• Troubleshoot, maintain integrity, and configure network components along with implementing operating systems enhancements to improve reliability and performance.
• Integrate new technologies into new and existing systems including the transition and migration of corporate systems.
• Interface with engineering and customer service organizations.
• Provide support to systems including day-to-day operations, monitoring, and problem resolution.
• Provision resources as needed for developers.
• Grant permissions and ownership for project and company compliance.
• Perform user account and access management.
• Document processes of resolved issues and referred to documented solutions for a faster turnaround.

Capgemini DevOps & Systems Engineer (August 2018 – February 2020)

• Management of the company IT infrastructure; Physical, Virtual, Private and Public cloud.
• Implementation of CI/CD pipeline for container deployment.
• Implementation and management of private container registry.
• Deployment of containers using Cloudformation.
• Performing tuning and system troubleshooting on the infrastructure and applications.
• Installed & configured Jenkins to support various Java builds and Jenkins’s plugins to automate continuous builds and publishing Docker images to the Nexus repository.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images, and managing Docker volumes.
• Used Jenkins and pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes and Created Pods and managed using Kubernetes.
• Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building Kubernetes cluster using Cloudformation or AWS CDK and deploying application containers.
• Experience in installing, configuring, supporting, and troubleshooting Unix/Linux Networking services and protocols like NIS, NIS+, LDAP, DNS, NFS, DHCP, NAS, FTP, SSH and SAMBA.
• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and Puppet.
• Setup from scratch Continuous Integration (CI) environments complete with automated unit testing and Code Coverage tools.
• Build scripts using MAVEN build tools in Jenkins to move from one environment to other environments.
• Application integration with database such as MySQL and DB2.
• Provide Architectural and Engineering designs support for Cloud based infrastructure.
• Deploy, test and document Development, Pre-Production and Production environments.
• Train and mentor Junior Administrators and Engineers.
• Use Amazon EC2 features to provision, monitor; scale and distribute computer infrastructure.
• Create Amazon Virtual Private Cloud (VPC) resources such as subnets, network access control lists, and security groups.

International Business Machine (IBM) Software Engineer / Big Data Engineer (February 2017 – August 2018)

History of working with Data Architects to build large-scale data processing systems in data warehousing solutions while working with a variable of database technologies. Experience working on highly scalable, distributed systems using different open-source tools as well as designing and optimizing large data warehouses. Ability to integrate Big Data Technologies into the overall architecture.

• Experience with SAP ECC migration from ECC to S4 Hana Implementation.
• Experience with using Smart Data Integration and Smart Data Quality to transform data for loading into Hana System.
• Understanding of Customer/Vendor Master Object from ECC to create Business Partner in S4 Hana using EnterpriseHub, Data Services, Sap, and UI5.
• Excellent ability to understand Hana Sql which is used to create procedures and run SDI/SDQ in sequence and automated.
• Worked with and Developed UI5 with front end Developers to display and execute Objects using the Front-End Interface.
• Ability to design and integrate data from multiple data sources, and an understanding of how systems work, underlying architecture and how to best utilize other open source systems by integrating it with SAP Hana.
• Designed and developed a Big Data Analytics platform for customers to view information on products using Python, Hive, and Hadoop.
• Integrated Hadoop into SAP Hana to accelerate extraction of data from NON-SAP Database Systems for extraction, transformation, cleansing, deduplication of data.
• Successfully engineered and designed the movement of data from SAP HANA into HADOOP for archiving using SQOOP and additional tools.
• Created Live Data Streams using Apache Spark to load Live Twitter JSON data into Cassandra databases for Analysis.
• Implemented S4 Hana Solution for Lubrizol using Enterprise Hub, SAP BODS, and SAP.
• Configured IDOC & message types for several objects.