Ijong Ikan
PAISLEY,Scotland
Summary
Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Uses independent decision-making skills and sound judgment to positively impact company success.
Overview
2025
2025
years of professional experience
1
1
Certification
Work History
Senior Cloud Solution Architect Cloud/SysOps Engineer
- Design an overall Virtual Private Cloud VPC environment, including server instance, storage instances, subnets, availability zones for customer's enterprise
- Design an AWS network architecture including VPN connectivity between regions and subnets Worked closely with business units, application teams, infrastructure areas, and vendors to identity, review, and evaluate solution requirements
- Design and executes migration plan and validated the environment to meet all security and compliance controls
- Performed system vulnerability scanning using approved software tools
- Performed software installation, systems monitoring, and troubleshooting, account management, and overall efforts to minimize system downtime
- Reviews, identifies, and manage requirements for moderate to complex solutions and performed a cost value, feasibility, and risk analysis
- Architect and implement Amazon Web Services infrastructure and topologies Managed product features including but not limited to IaaS, PaaS, and SaaS, Automation and DevOps, Ansible, Puppet, Chef, Docker, Virtualization, and VMware
- Designed and deployed a data lake solution with AWS Athena, continuously monitoring and improving data platforms for scalability and costs reducing reporting times by 15%
- Work with data scientists to optimize data workflows and models on Databricks and Enhanced data validation processes, improving quality standards by 10%
- Implemented Amazon EMR for faster data extraction, accelerating data processing speed by 20% Deployment of microservices on ECS in combination with AWS CloudMap (for Service Discovery) and with Canary Deployments using AWS App Mesh AWS (Service Mesh)
- Implement Distributed Tracing using X-Ray without making any application-level code changes when AWS App Mesh (Envoy Proxy) is in place with ECS Deployments
- Wrote and Implement Automated build and deployment process with CloudFormation Templates for Fargate Deployments starting from Network stack (VPC) to Service Stack (ECS or Fargate), Installed, configure, and manage monitoring tools, Grafana, Splunk, Nagios, AppDynamics, icinga
- Writing k8 manifest implementing solution for deploying load balancer k8s manifests for Classic and Network load balancers, ingress k8s manifests by enabling features like context path-based routing, SSL, SSL Redirect and External DNS
- Wrote automation of containerized cloud hosted solutions leveraging k8s manifests for advanced Fargate profiles and with mixed mode workload deployments in both EC2 and Fargate Serverless
- Using Application Load Balancers in combination with ECS Tasks (Containers) and implement URI based routing on ALB
- Deploy the Kubernetes Dashboard (web UI), k8s manifests, & for storage S3, persistent volume claim pvc, MySQL and EBS CSI Driver SDLC, switching from native EBS Storage to RDS Database using k8s, Helms chart, EKCTL, Kubeconfig, external name service, and Tagging Amazon EKS resources
- Develop a DevOps framework for continuous testing with Continuous Integration, Continuous Build and Continuous Deployment Practice, Tools and trends
- Software tools exposures:
- Kubernetes K8s, S3, Glue, EMR
- Redshift, DynamoDB, Kinesis, Lambda, Athena, Ansible, terraform, CI/CD, Jenkins, Jira, Git, Docker, Jenkins, Ansible, terraform, EBS, RDS, CLB, NLB, ALB, Faregate, ECR, CloudWatch, Route53, Certificate Manager, X-Ray, Ingress, Autoscaling, SNS
- Nodejs, Python, Ruby, locust, Pytest, SQL, CDAP, Spark, Kafka
Lead Technology Architect
IBM Consulting
01.2022 - 04.2023
- Designed and implemented a high-throughput data pipeline processing 10TB assisting in release management and technical integration processes for projects of data daily using Amazon EMR, reducing processing time by 30%
- Investigate and solve technical problems and long-term outstanding issues for internal business units Enhancing data quality by refining ETL processes using Python and AWS Glue, reducing data inaccuracies by 15%
- Led a cross-functional team of 8 to drive forward automation solutions/recommendations migrating on-premises databases to AWS Redshift, improving query performance by 2X
- Maintain and implement documentation in accordance with internal policies and procedures and initiated a data governance strategy using AWS Lake Formation, enhancing data security and compliance
- Developed a real-time analytics solution using AWS Kinesis and AWS Lambda, streamlining decision-making processes
- Scaled data processing capabilities by 3X by efficiently partitioning data in Amazon S3
- Spearheaded the adoption of AWS Data Pipeline, boosting data processing efficiency by 25%
- Enabling Real-time planning, analysis, budgeting, and forecasting
- Decreased data loading times by 40% by optimizing Amazon Redshift configurations, increasing productivity with automated data-driven processes
- Established robust encrypted data pipelines with AWS KMS, enhancing data security
- Lead a team of engineers in developing, testing, deploying, and maintaining high-quality software applications and systems
- Establish and enforce standards, and methodologies for software engineering, ensuring alignment with business and customer needs
- Architect and design scalable, cloud-based solutions using microservices and APIs
- Collaborate closely with product managers, designers, and partners to prioritize and deliver the software engineering roadmap
- Manage engineering team performance, offering guidance, coaching, and mentorship to team members
- Drive continuous improvement and innovation, staying updated on the latest tech trends and incorporating standard processes
- Ensure quality is maintained across the engineering lifecycle, including continuous integration (CI), and continuous delivery (CD)
- Introduced automation in cloud infrastructure management using AWS terraform, Ansible, and packer saving operational costs by 20%
- Software tools exposures:
- Gitlab, Ansible, terraform, AWS Glue, Apache Spark, Hadoop, Data Pipeline, Airflow, Vagrant, Erwin, Lucid charts, AWS IAM, KMS, Cognito, TDE, Python, SQL, Java, Scala, NoSQL, MongoDB, DynamoDB, AWS (EC2, S3, RDS, Redshift)
- Developed network and system architecture according to business needs.
- Improved business productivity for clients by [Number]% by re-engineering and designing infrastructures.
- Reviewed clients' overall app and infrastructure estate, business priorities and success criteria to design transformation plans.
- Provided current best practices and third-party solution alternatives when necessary for functional design documentation.
- Provided technical leadership to team members during system design.
- Applied hardware engineering and software design theories to develop appropriate interfaces.
- Set up secure databases and networks.
Snr Enterprise Solutions Architect
GE Vernova PLC
04.2023 - Current
- Work in coordination with the Services function (Delivery Manager and Project Manager), for interacting with customers to define, produce and maintain optimal design based on customer needs and solution capabilities
- Facilitate requirements, design and solutions workshops that capture functional and non-functional requirements from the client, and you will own the design deliverables (Statement of Work, Architecture documents), ensure traceability of requirements with solutions proposed
- Responsible for facilitating effective the communication and enforcement of Design to Customer and Key Project Stakeholders
- Management and involvement of other SMEs (e.g
- Business analysts, IT / Cybersecurity experts) and make sure their design contributions meet system architecture functional and non-functional requirements
- Champion and Drive excellence in execution through continuous improvement in their segment or domain (best practices and reference material - reference architectures, reference solutions)
- Collaborate with Product Managers & Engineering (Return on Experience, product enhancements, reference architectures)
- Build technical expertise within DevOps and platform team in the field of their segment or domain to Deliver technical consultancy services on demand
- Coordinate knowledge capitalization and dissemination across the Services & Solution Design teams
- Accountable for activities planning, progress reporting, and completing activities in his scope as per approved budget
- In charge of observing Performance metrics to enable management system security vulnerabilities and associated threats and drive architecture discussions related to cloud security, privacy, and compliance, considering scalability, performance, agility, and high availability/disaster recovery (HA/DR) aspects
- Generate performance graphs, session reports, and other related documentation required for validation and analysis
- Publish results and provide appropriate signoff
- Prepare detailed status reports and monitor all defects and issues
- Install and configure VMware vSphere and creating clusters, creating, and managing resource pools with High availability and dynamic resource scheduling, and Migrating VMs using SAN to SAN replication using recovery point and providing support for DNS/DHCP/WINS services
- Proficient in managing a typical workday consists of 1/4 programming and automation development, 1/4 reviewing code (i.e., pull requests), 1/4 project planning, 1/4 assisting internal clients on operations.
- Maintained current and in-depth understanding of business processes, needs and objectives.
- Worked with developers and engineers to realize technological solutions.
- Broke down technical ideas and issues into non-technical terms for business executives.
- Contributed heavily to product development lifecycle of both back-end and customer-facing solutions.
- Analyzed Data streaming solutions proposed to meet diverse business requirements.
- Analyzed Data stream solutions proposed to meet diverse business requirements.
Enterprise Technical Solution Architect Cloud/SysOps
IBM Consulting, Social Security Scotland/Oxford Brooks University
01.2023 - 04.2023
- Engage with stakeholders in coordination with the Services function (Delivery Manager and Project Manager), to define solution capabilities, define optimal solution architecture, based on analysis needs
- As trusted business advisor and collaborate with stakeholders to provide innovative solutions to solve the most challenging business problems
- Overseeing and ensuring Endless visibility into infrastructure performance for optimal implementation of cloud native observability solution solutions using open telemetry, AppDynamics, and cisco thousand eyes reducing incident response time by 25%
- Collaborate with development teams to implement best practices for application performance, scalability, reliability and ensures efficient resource utilisation, cutting waste by 10% and improving
- Utilized SQL and Python scripting to analyse 500M+ data points, uncovering actionable insights that increased user retention by 20%
- Developed custom dashboards and reports for senior management using Power BI, leading to more data-driven decision-making processes
- Engage with internal stack holders as technical owner of design deliverables (Statement of Work, Architecture documents), ensure traceability of requirements with solutions proposed
- Architect data streaming pipeline, deploy, manage scalable solutions and maintain utilising AWS services, Docker, Kubernetes, Helm, Python, Terraform, CloudFormation, Linux/Shell Scripting, Monitoring, GitLab CI, AgroCD, EC2, RDS, S3, Lambda, and others to Build data integration flows to migrate large datasets into Snowflake data warehouse, and extend data analytics platform
- Leverage on iterative/agile methodologies to Deploy at speed, large Scale apps across clusters and multi-cloud environments (Azure, GCP, AWS such as provisioning data pipelines, automated configurations, upgrade, deployment
- Led the design of a modern data platform using Azure, increasing data processing speed by 35%
- Implemented containerization in application deployment, reducing the deployment time by 40%
- Designed and established disaster recovery solutions, reducing the recovery time by 30%
- Design monitoring dashboard to track resource utilization and performance metrics at scale in the first 20days
- Accountable for activities planning, progress reporting, and completing activities in his scope as per approved budget
- Software tools exposures:
- AWS VPC, EC2, EKS, S3, EKS, EBS, ELB, IAM, Apache Kafka, Kafka connect, AppDynamics, Open telemetry, NLB/CLB/ALB Cloud formation, Terraform, Kubernetes, docker, Podman GitOps, AgroCD OpenShift, Guard Duty, Transit Gateway, AWS Config, Route53, AWS code pipeline, Lambda, ECR, IAM Faregate, ansible, chef, Packer, Terraform, Java, Python, Ruby, GIT, Ant, Maven, Artifactory, Tomcat, WebSphere, SVN, VMware, Clear Quest Jenkins, Linux, JBOSS, Shell, Perl Scripting, Nexus, JIRA.
Consultant
Giant - JP Morgan & Chase
07.2022 - 02.2023
Consultant
Capgemini - HMRC
03.2022 - 08.2022
Technical Solution Architect / integration Engineer
NHS, Digital
07.2021 - 03.2022
- Managed the overall business/IT Transformation process by driving the analysis of technical &, operational requirements for development, implementation and deployment
- Provide functional and technical guidance to the business in determining development road map in Design and implement Data ingestion, cleaning, transformation, storage integration pipelines using Kafka, Kafka Connect on AWS using MSK and MSK Connect managed services
- Design and execute proofs-of-concept for critical enterprise capabilities, including building business case with costs, benefits, and efficiency measures
- Design Event streaming data pipeline CI/CD Stack consisting of GitLab, Jenkins, Monitoring and Prometheus, Grafana, ELK Alerting utilising Infrastructure as Code (IaC) Terraform, and Ansible
- Start Kafka Connect cluster which is using MSK as a hosting Kafka cluster
- Copy binaries of those connectors to a plugin dir
- Defined in worker configuration
- Under MSK Connect - create a custom plugin
- Create connectors by using rest endpoint of self-managed Kafka connect or by using MSK Connect API
- Integrate Jenkins with aws plugin so that the Jenkins slave/client are online only when called resulting in cost saving, and automating creation of Immutable infrastructure (EC2, VPC, ELB, Autoscaling etc) using Terraform
- In addition to creating multiple automated build and deploy branch pipelines using Jenkins and Ansible
- Implementation of the end to end Infrastructure, Cloud & Security Services (Wintel, Linux, DB, Storage, VMware, Citrix, Microsoft, Workplace, Office 365, Cloud, Security, SIEM etc.)
- Software tools exposures:
- ITAAS, GITA, TOGAF 9, eTom, eTom+, IBM SOA Suites, Oracle BPM/SOA Suites 11gR2, Spark, Kafka, Git, Docker, Jenkins, AWS EC2, S3, CloudWatch, Splunk, Grafana, Ansible, Docker, Vagrant, Kubernetes, Artifactory, Jfrog SQL DB, Linux and Windows operation systems, Java, Python, Selenium, Gatling, Jira, JMeter, PowerShell, Bash, Grafana, Splunk, Terraform, Ansible
Cloud Solution Architect
Visa-CyberSource
12.2020 - 07.2021
- Automate build and deployment process using Jenkins, ansible, chef, packer, Python, AWS lambda, and terraform Templates
- Building data pipeline using Kafka and SPARK Event streaming using feed from API streaming Gateway REST service with Spring Boot Framework
- Implemented designing, deploying, and managing enterprise cloud environments, administering containers and container orchestration (Docker, Kubernetes, EKS, Terraform, Vagrant, etc
- And 18+ other automation tools for infrastructure management)
- Managed installation, upgrade, automated deployment technologies leveraging iterative/agile development methodologies and experience of enabling Monitored and tested application performance to identify potential bottlenecks, develop solutions and collaborate with developers on solution implementation
- Responsibilities involved in designing and deploying multitude applications utilizing almost all the AWS stack (including EC2, Route53, S3, RDS, DynamoDB, SNS SQS, IAM focusing on high availability, fault tolerance and auto-scaling in AWS CloudFormation
- Examined cloud security practices and identifies key risks, then executed programs to address them
- Developed, maintained and report on key cloud security metrics, both as programs and on an individual basis, creating metric templates and scoring models
- Creating metric templates and scoring models
- Implement CRUD operation using Spark- Cassandra connectors to load data to and from Cassandre using Cassandra drivers
- Developed and maintained CI/CD pipelines using Jenkins and GitLab CI/CD, enabling automated building, testing, and deployment of applications
- Software tools exposures:
- Event based microservices, Transit Gateway, AWS Cloud services including, Route53, AWS Transfer family), CHEF, Docker, Java, GitOps, GitHub, Maven, Jenkins, shell script, SOA, Powershell, Linux, windows Server, SQL server, python, ruby
Snr DevOps Engineer
Disclosure Scotland
09.2019 - 12.2020
- Envisioning innovative ways to apply platform practices and services IaaS, PaaS, CaaS, to solve business problems, and effectively
- Identify the most effective modernisation approaches, whether modernising legacy applications with microservices or building entirely new application stacks using modern cloud-native architectures
- Building and Implemented automated Real-Time Streaming Data Pipelines with AWS Kinesis integration Pub/Sub data alignment pipeline with AWS Lambda and SQL
- Building data pipelines in AWS cloud, included storing and retrieving data in S3, include Aurora/PostgreSQL database setup & administration
- Build and deploy Spring Boot application and Spring Boot Rest API on a multi-architecture Amazon EKS cluster
- Designed scalable fault tolerant, available, secured disturbed cloud infrastructure Collaborating on stages of systems development lifecycle from requirement gathering to production releases all teams
- Automating AWS setup using terraform, CloudFormation, Packer, Chef, Ansible and server spec, GitLab Jenkins and CodeDeploy to Deliver ambitious, but realistic coding milestones on pre-release software project development
- Installation, configuration, maintenance, administration, and support on RedHat, working with DBA for Database performance, and network related issues on Linux servers
- End Users support, managing operations and security issues, managing system resource such as managing KVMs, server update, patching, upgrades, and package installation using RPM, APT, and YUM
- Developing scripts to be executed as checked by Nagios for both Windows and Linux targets, Monitoring servers’ switches, ports with Nagios monitoring tools, making changes to configuration file on client-servers and host -servers
- Software tools exposures:
Senior DevOps Engineer
Quilitest - Siemens PLC
04.2019 - 09.2019
- Architect and build unified monitoring and analytic solution using Splunk, and Creating custom Dashboard in Datadog with aggregated metrics, charts etc
- Automating emails with Datadog reports using Datadog Rest API/ web hooks
- Revised, modularized, and updated old code bases to modern development standards, reducing operating costs, and improving functionality
- Lead research and proof of concept initiatives for cloud native designs and implementation within public clouds, primarily AWS
- Responsibilities involved in designing and deploying multitude applications utilizing all the AWS stack (including EC2, Route53, S3, RDS, DynamoDB, SNS SQS, IAM focusing on high availability, fault tolerance and auto-scaling in AWS CloudFormation
- Implemented and deployed Architecture of hybrid cloud solutions across multiple vendors including AWS, Azure & GCP; ensuring zero downtime during migration with no impact on customer facing services/applications Designed and implemented security tests per stated criteria for several cloud enterprises
- Defining the overall strategy and roadmap for implementing security practices in the DevOps workflow
- Establish software delivery goals and milestones, allocate resources, and prioritize tasks to ensure the successful execution of the security plan within teams
- Software tools exposures:
- MongoDB, MariaDB, Red hat Linux, Ubuntu, VirtualBox, Vagrant, Jira, Ansible, Nodejs, JavaScript, Bash/shell scripts, C#, Groovy, Ruby, python, Bugzilla, terraform, CloudFormation, Packer, Chef and Ansible
DevOps Engineer
Nationwide Building Society
07.2018 - 03.2019
- Design, build, deploying and management ELK (Elasticsearch, Logstash Kibana), beats, Kafka zookeeper cluster for centralised logging and search functionalities for apps
- Design, implement and manage data pipeline with AWS MSK and AWS MSK Connect, ensuring connectivity between VPC/subnets where Kafka Connect with connectors runs, to the AZURE Endpoint
- Lift and Shift Migration strategy to transition existing apps along with its data and configurations from on-premises and current cloud provider Azure to AWS cloud without significant redesign or re-coding, with minimal modifications to the application architecture
- Orchestrate multiple ETL jobs using AWS step function, Lambda and Glue for loading and preparing data analytics for subscribed clients
- Making use of ELK stack for logging all activities and creating indexes which can be queried by Kibana fetching data to dashboard
- Managing systems routine backup, scheduling jobs like enabling and disabling cronjobs, enabling system logging, network logging of servers for performance validation, performance tuning, testing, Jumpstart & kickstart OS integration, DNS, DHCP, SMTP, Samba, NFS, FTP, SSH, LDAP services integration
- Developing scripts to be executed as checked by Nagios for both Windows and Linux targets, Monitoring servers’ switches, ports with Nagios monitoring tools, making changes to configuration file on client-servers and host -servers
- Software tools exposures:
- Apache Kafka, Confluent Kafka, Cssandra, Grafana, Python, Ansible, Nginx, AWS, shell, Prometheus, Dynatrace, Splunk, locust, and JMeter, AWS, Azure, Kubernetes, Helm, Nagios, Splunk, SonarQube, Istio, EKS, S3, Grafana, CloudWatch, Cloud insight
Cloud Systems Engineer
UK Hydrographic Office, UKHO
01.2018 - 07.2018
- Designing, building, and maintaining secure and scalable cloud infrastructure using cloud formation and automating release with bash scripts
- Install VMware ESX server 4.1/4.0 and created VMs on ESX server, created standard templates, deployed VMs from these templates
- Managing and maintained on-premises infrastructure, including VMware virtualization and SAN storage
- Provide daily support/ administration to multiple hosted clients, which comprises of 50 ESX3.5/ESXi 4.1 hosted in various cluster virtual farm with 1500+ Windows and Linux guest
- Administering systems based on Linux and Windows configuration, management, optimization, and administration automating system configuration, deployment, operation and maintenance troubleshooting IP networking systems
- Configure Azure Virtual Networks, subnets, DHCP address blocks, Azure Network Settings, DNS setting, Security policies, routing and Managed Azure Web Roles, Azure Worker roles Azure AD licenses, office 365
- Implementing and optimizing infrastructure deployment and automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as ARM templates
- Define monitoring goals, set priorities and programmatically automate Monitoring AWS environment with minimal errors
- Configured and tuned virtual private clouds, Active Directory, SAML, web Single Sign-on (SSO), OAuth and related authentication technologies
- Software tools exposures:
- VMware, Jira, Ansible, Nodejs, JavaScript, Bash/shell scripts, C#, Groovy, Ruby, python, Bugzilla, Grafana, Red hat Linux, Ubuntu, LDAP directory
Systems Administrator
Next PLC
12.2016 - 12.2017
- Administration of vSphere 4.1/5.1/5.5, Citrix PS 4.5/XenApp 6.5, Windows Server Active Directory Environment
- Design an overall Virtual Private Cloud VPC environment, including server instance, storage instances, subnets, availability zones for customer's enterprise
- Design an AWS network architecture including VPN connectivity between regions and subnets Worked closely with business units, application teams, infrastructure areas, and vendors to identity, review, and evaluate solution requirements
- Install and configure VMware vSphere and creating clusters, creating and managing resource pools with High availability and dynamic resource scheduling, and Migrating VMs using SAN to SAN replication using recovery point and providing support for DNS/DHCP/WINS services
- Participate in on-call rotation schedules to provide 24/7 support for production systems, utilising Monitor system performance, troubleshoot and resolve BAU incidents promptly to ensure maximum uptime and reliability
- Monitor and optimize cloud environments for performance, scalability, and cost-effectiveness, leveraging Azure monitoring and management tools
- Managing and troubleshooting platform deployments Collaborating with Azure vendors and other engineers to ensure smooth Migration operation
- Managing systems routine backup, scheduling jobs like enabling and disabling cronjobs, enabling system logging, network logging of servers for performance validation, performance tuning, testing, Jumpstart & kickstart OS integration, DNS, DHCP, SMTP, Samba, NFS, FTP, SSH, LDAP services integration
- Software tools exposures:
- Windows servers, Red hat Linux, Bash/shell, VMware HCX, VMware SW: vCenter, vSphere, vSAN, Active Directory, SAML, web Single Sign-on (SSO), OAuth and related authentication technologies
Lead Software Developer
Ollak Venture
06.2013 - 07.2016
- Set up, maintaining, and operating test automation frameworks including Design, implement test automation framework from scratch using SpecFlow BDD, Selenium Web Driver page object model, automated test reporting
- Design and perform exploratory test using Coded UI with Visual Studio 2012 Test Manager
- Pair programming Developing Software applications with Software developer team and modifying automating manual test scripts and verifying RESTful services and reporting automation test execution results
- Building acceptance testing framework (BDD/TDD) using SpecFlow and Nuit, Git, Source Tree, Jenkins for Continuous Integration with Microsoft visual studio, TFS, MTM, and for Sprint planning using Jira and X-ray for test scripts and User Stories GenyMotion for Android Emulation
- Creation of smoke test, regression, performance and other testing Automation for backend Web Service SOAP/RESTful services using SOAP UI and maintenance of scripts used in a TDD workspace using C#.NET, SQL Server 2012 and JSON
- Performed daily administration task, creating analytical matrices reports for release services based on Remedy Tickets
- Responsible for configuring and managing squid server in Linux, web automation testing using Selenium, Performance Testing using JMeter, & API Testing using Postman
- Performing Test Automation and setting up frameworks on multiple application platforms like Web, Mobile, and Desktop etc
- Creating, extending existing automation test scripts and managing bug reports communicate with sysadmins on deployment readiness test
- Work with deployments teams and resolving any level issues for the system
- Creating database testing including designing, manipulating test data and testing performance to evaluate the performance and scalability of systems and application under various loads and conditions
- Software tools exposures:
- JMeter, Load Runner, Selenium WebDriver, Protractor, SOAPUI, java, HTML, CSS, C#, JavaScript, MySQL bash/shell script, Ruby, Groovy, VMware, and Docker
stack Developer
Ollak Ventures
10.2010 - 05.2013
- Led a team of 8 developers in designing and implementing a microservices architecture using .NET Core and Docker, improving application scalability and reducing downtime by 40%
- Developed a robust CI/CD pipeline using Jenkins and GitHub Actions, cutting deployment time by 50%
- Collaborated with stakeholders to prioritize features, which improved project delivery timelines by 20%
- Writing server-side code using Node.js, PHP, Java, or other server-side languages
- Designing and implementing database schemas using MySQL, MongoDB, and other database technologies
- Creating and consuming RESTful APIs
- Debugging and troubleshooting code
- Optimizing web applications for performance
- Integrating third-party services and APIs
Education
Ph.D. - Development of Robust Optmal Design
Cranfield University
Bedford, 06-2016
Skills
- Backup and recovery
- Scalability planning
- Network configuration
- Incident response
- Virtualization technologies
- Capacity planning
- Disaster recovery planning
- Cost optimization
- DevOps engineering
- API integration
- Automation tools
- Compliance and regulations
Accomplishments
- Supervised team of [Number] staff members.
- Documented and resolved [Issue] which led to [Results].
- Collaborated with team of [Number] in the development of [Project name].
- Achieved [Result] by introducing [Software] for [Type] tasks.
- Achieved [Result] through effectively helping with [Task].
- Achieved [Result] by completing [Task] with accuracy and efficiency.
- Resolved product issue through consumer testing.
- Used Microsoft Excel to develop inventory tracking spreadsheets.
Certification
- Project Management Professional (PMP) - Project Management Institute.
- VMware Certified Professional 6 - Network Virtualization– VMware, Inc.
- Cisco Certified Network Associate (CCNA) - Cisco Systems, Inc.
- AWS Certified Solutions Architect – Associate - Amazon Web Services.
- Google Cloud Certified – Professional Cloud Architect - Google Cloud Platform.
Languages
English
Full Professional
Timeline
Snr Enterprise Solutions Architect
GE Vernova PLC
04.2023 - Current
Enterprise Technical Solution Architect Cloud/SysOps
IBM Consulting, Social Security Scotland/Oxford Brooks University
01.2023 - 04.2023
Consultant
Giant - JP Morgan & Chase
07.2022 - 02.2023
Consultant
Capgemini - HMRC
03.2022 - 08.2022
Lead Technology Architect
IBM Consulting
01.2022 - 04.2023
Technical Solution Architect / integration Engineer
NHS, Digital
07.2021 - 03.2022
Cloud Solution Architect
Visa-CyberSource
12.2020 - 07.2021
Snr DevOps Engineer
Disclosure Scotland
09.2019 - 12.2020
Senior DevOps Engineer
Quilitest - Siemens PLC
04.2019 - 09.2019
DevOps Engineer
Nationwide Building Society
07.2018 - 03.2019
Cloud Systems Engineer
UK Hydrographic Office, UKHO
01.2018 - 07.2018
Systems Administrator
Next PLC
12.2016 - 12.2017
Lead Software Developer
Ollak Venture
06.2013 - 07.2016
stack Developer
Ollak Ventures
10.2010 - 05.2013
Senior Cloud Solution Architect Cloud/SysOps Engineer
Ph.D. - Development of Robust Optmal Design
Cranfield University
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