Inih M.

DevOps Engineer

London, England, United Kingdom6 yrs 7 mos experience
Highly Stable

Key Highlights

  • Extensive experience in AWS and cloud infrastructure.
  • Proven ability to optimize data delivery and architecture.
  • Strong background in DevOps and CI/CD practices.
Stackforce AI infers this person is a Cloud Infrastructure and Data Engineering specialist in the SaaS industry.

Contact

Skills

Core Skills

DevopsCloud ComputingData EngineeringData Processing

Other Skills

AWSAffiliate MarketingBig DataConfiguration ManagementContainerizationContinuous Integration and Continuous Delivery (CI/CD)Data AnalyticsDatabasesDockerGoogle AnalyticsGoogle Cloud Platform (GCP)Google Tag ManagerInfrastructure as Code (IaC)KubernetesMicrosoft Excel

About

Building on my education with a BSc (Hons.) in Computer Science and MSc in Data Science, I have gained extensive skills across many areas of cloud computing using AWS, maintaining infrastructure through the use of Infrastructure as Code (IaC), writing production-level code & demonstrated extensive knowledge through my certifications to name a few as the sole DevOps Engineer at 33N.

Experience

6 yrs 7 mos
Total Experience
5 yrs 5 mos
Average Tenure
1 yr 2 mos
Current Experience

Elliptic

DevOps Engineer

Apr 2025Present · 1 yr 2 mos

33n ltd

2 roles

DevOps Engineer

Promoted

May 2020Apr 2025 · 4 yrs 11 mos

  • My primary responsibility is to support our data scientists/engineers, analysts, software developers and clinical consultants on project teams through the following duties:
  • Maintaining and optimising the internal architecture such as managing multiple AWS accounts to a specific service like Elastic Kubernetes Service (EKS) environments for developers.
  • Management of development & production environment to ensure apps deployed within them are highly available.
  • Assemble reports and examples for stakeholders detailing solutions that meet functional/n-non-functional business requirements.
  • Chair discussions with the team to identify & implement internal process improvements, optimise data delivery and redesign infrastructure for greater scalability using research and examples such as automation.
  • Ensure teams are developing apps with security in mind.
AWSInfrastructure as Code (IaC)KubernetesDevOpsCloud ComputingTechnical Documentation+2

Data Engineer

Nov 2019May 2020 · 6 mos

  • Primary responsibility was supporting the data scientists, analysts and clinicians on team projects by optimising the data delivery architecture.
  • Tasked with creating and maintaining the data pipeline architecture. This opportunity gave me the chance to create pipelines with the use of Python leading to transformed data that was used to create visualisations to present to clients and create new business.
  • Assembling datasets that meet functional/non-functional business requirements. This led to creating a dataset which provides example data that can be used for testing when working with client data.
PythonData EngineeringData ProcessingBig DataDatabases

Awin global

2 roles

Integration Analyst

Jun 2018Sep 2018 · 3 mos · London, United Kingdom

  • Along with continuing with the job description when I was previously an intern, I gained more responsibilities listed:
  • I was involved with being a stakeholder and technical point of contact on an initiative to onboard new clients with a separate version of the tracking implementation. This led to trialling numerous consultation and implementation methods with a range of clients and their software.
  • Along with the above, it also included creating new documentation, training colleagues within the department and ensuring timeframes were met to ensure the success of the project.
  • More aware of the "day-to-day" of the department and had more of an active role in this through tasks such as training new interns, cross-departmental training through a presentation and demonstration of the team's workflow bi-weekly and reviewing colleagues technical setup to ensure a smooth launch.

Integration & Support Assistant

Aug 2016Aug 2017 · 1 yr · London, United Kingdom

  • I have acted successfully as the technical point of contact for a diverse range of clients which has led to integrating over 100+ accounts onto the platform along with troubleshooting errors with existing clients resulting in positive feedback externally and internally.
  • As well as working with a range of clients, I've also had the opportunity to work on high profile projects such as GiffGaff Mobile, Asda and GLH Hotels with several departments to ensure the successful launch of their affiliate program.
  • I became efficient in programming languages that led to being a collaborator on a project that contributed to my individual goals, along with the department's and company's goals.

Education

Queen Mary University of London

Master of Science - MSc — Data Science

Jan 2018Jan 2019

University of Derby

Bachelor of Science - BSc — Computer Science with Industrial Placement

Jan 2014Jan 2018

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