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Geoffrey Sagini Mogambi | Gravity Talent Portal

Geoffrey Sagini Mogambi

Geoffrey Sagini Mogambi

Data Scientist

https://talent.gravityer.com/geoffrey-sagini-mogambi

DevOps Engineer | BackendEnd Engineer. Skills - Amazon Web Services | Docker | Kubernetes | Terraform | Git OPs | Ansible | Microservices | Golang | Python

Kenya

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 23, 2026

https://talent.gravityer.com/geoffrey-sagini-mogambi

Top Skills

GoMakefileRShellDockerfileJupyter NotebookJavaPythonHCLSmartyJavaScript

Skills

GoMakefileRShellDockerfileJupyter NotebookJavaPythonHCLSmartyJavaScript

Projects

springbootproductbackend-cicd

June 14, 2026 – Present

springbootproductbackend-cicd — repository

monitoring-stack

September 8, 2025 – September 8, 2025

monitoring-stack — repository

django-terraform-devops

July 26, 2025 – August 5, 2025

Project is about deploying a Django API Backend to AWS using Terraform Github Actions for CI/CD pipelines.

terraform-jenkins

July 10, 2025 – July 18, 2025

terraform-jenkins — repository

jenkins-node

April 18, 2025 – April 18, 2025

jenkins-node — repository

golang-sqlc-gorm-rest

November 2, 2023 – March 8, 2025

This is a backend golang application using gorm for api and sqlc for database

golangbankapi

October 22, 2022 – March 8, 2025

This is a golang backend api using postgresql as backend database and deployed to aws eks.

pyspark_code

December 16, 2018 – December 16, 2018

python machine learning code

R_codes

December 16, 2018 – December 16, 2018

R codes for my personal projects

git_github

July 28, 2018 – July 28, 2018

git_github — repository

Key Strengths

Demonstrated interest in various backend technologies (Go, Java, Python)
Experience with CI/CD pipelines using GitHub Actions and Jenkins
Familiarity with infrastructure as code using Terraform
Exposure to containerization with Docker and orchestration with AWS EKS

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in different technologies and development practices, including backend development, DevOps, and some data science related tools. This breadth could indicate adaptability and a willingness to learn, which are positive for cultural fit. However, the projects are all personal and lack team collaboration context. The target role is 'Data Scientist', but many projects lean towards backend and DevOps, suggesting a potential misalignment or a very broad interest that needs to be focused.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0.