Golda Christopher Email & Phone Number

Takoma Park, Maryland, United States

AWS:-Setup weighted routing records on Route53, configured automatic failover from primary to backup disaster recovery region based on health checks. Troubleshoot DNS related user connectivity issues to services-Created a proof of concept serverless architecture for Lambda functions, wrote out all the core logic in Python mainly with boto3 library-Utilized various networking tools on AWS for traffic control and monitoring such as VPC peering, Transit Gateway-Cost optimized developer environments to run on spot instances, freed up a significant amount of m5 reserved instances for only mission critical workloads, saving us over $12,000 over the course of 1 year-Setup Config and IAM across multiple AWS accounts for DEV, UAT, and PROD to implement fine grain access control for various groups of engineers connecting to our environment-Would regularly troubleshoot developer issues on AWS such as service restarts, DNS related problems, identifying performance bottlenecks, adjusting IAM roles-Adjusted security groups, NACLs, setup new subnets, NAT gateways, route tables-Leveraged AWS EventBridge for cron based triggers to Lambda functionsKubernetes/Monitoring:-Created and modified helm charts for deploying new applications to EKS clustersInfrastructure as Code:-Refactored a large amount of messy Terraform code into clean, reusable modulesBundled together all permanent infra changes from other team members into Terraform code -Used Ansible to bootstrap environment variables before applying terraform deploy modules (done through a Jenkins CD pipeline)Security:-Leveraged AWS IAM analyzer for auditing our various IAM policies for vulnerabilities-Used both Sonarqube and Checkmarx through CI/CD pipelines for static code analysis to check for code smells-Used Trivy for automated scanning of our Docker container images -Implemented best security practices for any code I developed such as no hardcoding, proper use of environment variables

Atlanta, Georgia, United States

-Created Grafana alert mechanisms to trigger set duration ahead of the expiry date. -This automation has a huge impact on the visibility of cluster service availability for the developer and production workloads by eliminating sudden access disruptions.-Created alerting criteria to track total remaining bytes on each cluster VPC to alert us ahead of time before it runs out of space, so the DevOps Engineers can manage the required Volume Claim space by releasing required critical resources.-Developed Python code in AWS Lambda with AWS EventBridge to automate scaling ECS clusters up and down during business hours.-Created 100s of Splunk and DataDog alerts, synthetic alerts, and monitors-Updated AWS release cut deployments through updating Terraform code (Enterprise version) -Setup clusters, EventBridge rules, S3 buckets, IAM roles, VPCs, EC2s, NAT Gateways, Load Balancers through terraform modules.-Bootstrapped EC2s and applied patches to servers through Ansible playbooks.-Automated the list of checks to be performed for go-live on new version release cuts through Lambda scripts. Previously had to manually check about 20 different parameters in cloud environment and with databases.-Setup Multi-Region Access Points (MRAPs) for S3 buckets in our production environment.-Configured Route53 DNS routing rules to route incoming traffic to service endpoints for our application.-Used Job DSL plugin for Jenkins to code in Jenkins jobs for various teams across our organization-Created Jenkinsfiles for coding in new pipeline jobs, complete with stages like retrieving from git via webhook, using build tool to compile the project-Setup monitoring with Prometheus and Grafana, edited the PromQL queries, scraped custom logs based on various criteria-Monitored Kubernetes Cluster API Server SSL Certificate Expiry by implementing Prometheus Blackbox exporter as deployed service onto separate monitoring namespace-Developed and maintained custom Kafka producers and consumers

Atlanta Metropolitan Area

● Designed, configured, and deployed Amazon Web Services (AWS) for multiple applications using the AWS stack (EC2, Route53, S3, RDS, CloudFormation, CloudWatch, SQS, IAM), focusing on high-availability, fault tolerance, and auto-scaling. ● Completed migration of on premises applications to cloud.● Wrote CloudFormation Templates (CFT) in JSON and YAML formats to build the AWS services with the paradigm of Infrastructure-as-Code. ● Create and maintain highly scalable and fault tolerant multi-tier AWS environments spanning across multiple availability zones using Terraform ● Write terraform scripts from scratch for building Dev, Staging, Prod and DR environment● Managed Terraform State file for large Team Environment● Debug and Troubleshoot Terraform deployment● Hands on writing Terraform Scripts● Worked extensively with Data Lakehouse model on both AWS (Redshift, Glue, EMR, S3 Data Lakes), and Azure Databricks (delta lakes)● Engineered scalable data pipelines with Azure Data Factory to orchestrate data flow from Azure Event Hubs to Azure Synapse for real-time analytics. ● Implemented data lake solutions using Azure Data Lake Gen 2 and Azure Blob Storage, optimizing storage and access patterns for big data workloads. ● Developed resilient ETL processes using Azure Databricks, leveraging Spark Structured Streaming for processing large streams of data. ● Orchestrated multi-container applications using Azure Kubernetes Service for deploying analytical models and data processing services.● Automated Regular AWS tasks like snapshots creation using Python scripts

Atlanta Metropolitan Area

-Designed and managed public and private cloud infrastructures using Amazon Web Services (AWS), which included VPC, EC2, S3, CloudFront, Elastic File System, RDS, Direct Connect, Route53, Cloud Watch, Cloud Trail, CloudFormation and IAM -Created Docker images using Dockerfile, worked on Docker container snapshots, removing images, managing Docker volumes and setting up Docker Host-Set up CI/CD pipelines in alignment with standard processes of software lifecycle development and testing to ensure pipelines were fully functional and met requirements before implementation to production-Set up Jenkins’ master server and added necessary plugins and build agents (Slaves) to support scalability and agility. -Created Terraform scripts and used CloudFormation templates to automate the provisioning of AWS resources such as IAM, EC2, S3, Route 53, SNS, RDS, ELB and Auto Scaling and made calls to Puppet scripts for configuration of servers on the instances. -Implemented Cloud Infrastructure as a Service environment using open-source technology Open Stack to enable portability of cloud services across hybrid cloud environments. -Transitioned from manual configuration and deployment to Infrastructure as Code using Ansible, including writing and implementing playbooks. -Created Ansible playbooks to automatically install packages from a repository.-Created Terraform Scripts to deploy infrastructure in AWS provider.-Managed and maintained large-scale Terraform deployments and state file for large teams.-Programmed automation scripting in Python (core) to deploy and manage Java applications across Linux servers. -Customized existing Python scripts specific to select internal applications. -Utilized AWS step-function for orchestrating and automating the pipeline. -Started and configured master and slave nodes for Spark. -Developed scripts for AWS orchestration and maintained and expanded AWS infrastructure. -Worked with development team to migrate Ant scripts to Maven

Douala V, Littoral, Cameroon

-Dockerized applications by creating Docker images from Dockerfile-Installed Docker and Docker-compose on different servers-Utilized Kubernetes and container-d for the runtime environment of the CI/CD system to build, test and deploy.-Created and configured elastic load balancers and auto scaling groups to distribute the traffic and to have a cost efficient, fault tolerant and highly available environment.-Worked with the IAM service to create roles, users and groups and attached policies to provide minimum access to the resources.-Worked on all major components of Docker like Docker Compose, Volume, Network, Hub, Images, Swarm.-Worked extensively with AWS services like EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, IAM, CloudFormation, CloudFront, and RDS-Designed and configured VPC-Internet Gateways, NAT Gateways, Public and Private subnets, Security groups, NACLs, Route Tables, VPC peering.-Deployed web applications on AWS S3, served through CloudFront and Route 53 using AWS CloudFormation Service and Certificate Manager-Developed web applications and RESTful API services in Python with Flask and deployed to AWS. Used Application Load Balancer with Auto Scaling Group of EC2 Instances and RDS, AWS CloudFormation Service, MySQL, and Docker.-Managed cloud deployments with cloud administration tools and management frameworks.-Configured, deployed, and managed Docker containers using Kubernetes. -Supported web application technologies such as TCP/IP, SSL/TLS, HTTP, DNS, routing, load balancing, etc.-Performed troubleshooting and resolved issues within Kubernetes cluster. -Set up and supported databases (e.g., RDS, databases on EC2) in the cloud. -Produced scripts to automate various processes using scripting languages PowerShell and Python.-Helped in solving application problems using services like Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS).

Douala V, Littoral, Cameroon

-Managed, coordinated, and implemented software upgrades, patches, hot fixes on servers, workstations, and network hardware-Collaborated with other teams and team members to create automation strategies and deployment processes-Built, Installed, and configured servers from scratch with RedHat Linux OS.-Performed dedicated strategic and budget planning for all systems and related hardware and software.-Deployed and Managed Linux/UNIX servers.-Updated patches, software on a regular basis-Provide on call support to 24/7 infrastructure deployment and troubleshooting. -Spearheaded the research, evaluation, and feedback on problematic trends and patterns in customer specific issues such as network connectivity, software, hardware, etc.-Developed and maintained problem tracking and resolutions databases, endeavoring to always ensure comprehensive and accurate documentation.-Set up system to identify and repel any potential threats or attempts at unauthorized network access.-Ensured enforcement of national and DoD security policies, directives, and standards.-Handled remote control, patch management, operating system deployment, network protection, and other important services via the Microsoft SCCM platform.-Installed, supported, and maintained servers and other related computer systems.-Conducted detailed oversight to determine that all defensive mechanisms were in place and operational.-Performed troubleshooting of customer issues over the phone and in person, accurately diagnosing and resolving issues in response to customer reported incidents.-Utilized Remedy to address customer service issues. Maintained an expert affinity for Remedy, handling every step of the work order process within the software.-Implemented thorough customer support policies, procedures, and standards, taking care to design them to be as enforceable and accurate as possible.-Implemented secure FTP, LDAP, Proxy technologies, TCP/IP, DNS, and SSL certificates