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Stephen K - Kubernetes developerLD Talent logo

Stephen K

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
SOFTWARE ENGINEER Preferred Title
$17.00 /hr $ 50.0K /yr Hourly Rate and Yearly Salary
Overview Experiences LD Experiences Qualifications Reviews
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 1.3 hours
  • Average Count of Messages/Day 0.7
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 10h PST, 40h UTC
  • Earned Hours 6.00
Talent's Devices
  • Desktop Linux
  • Phone Android
General
  • Member Since Jun 05, 2020
  • Profile Last Updated Jun 16, 2021
  • Last Activity June 15, 2023, 8:23 p.m. UTC
  • Location Kenya
Profile Summary
Skilled Software Engineer experienced in Python (Flask and FastAPI) and React with DevOps process Understanding including supporting, automating, and optimizing mission-critical deployments in AWS, leveraging configuration management, CI/CD, and DevOps processes
Skills
Total Experience: 9 years
  • Kubernetes (9Y)

    9 years of experience
  • AWS S3 (9Y)

    9 years of experience
  • Google Cloud (2E, 9Y)

    2 experiences, across 9 years
  • Terraform (9Y)

    9 years of experience
  • Docker (9Y)

    9 years of experience
  • Python (2E, 9Y)

    2 experiences, across 9 years
  • React (2E, 9Y)

    2 experiences, across 9 years
  • GIS (8Y)

    8 years of experience
  • AWS (2E, 9Y)

    2 experiences, across 9 years
  • Ansible (8Y)

    8 years of experience
  • Bash (8Y)

    8 years of experience
  • Flask (8Y)

    8 years of experience
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 10h PST, 40h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
07 - 15
07 - 15
07 - 15
07 - 15
07 - 15
PST
00 - 08
00 - 08
00 - 08
00 - 08
00 - 08
Experience
Software Developer
Employment
Aug 2017 - Present
SpatialKey Company
Technology Industry
Project: Data Engr / DevOps Engr
  • GIS
  • Flask
  • Bash
  • Ansible
  • React
  • AWS
  • Python
  • Shaped my team workflows increasing speed and quality of our deliveries by incorporating automation with Python on most of our workflows and created documentation around them.
  • Slashed the release process 75% by automating the configuration management using ansible playbooks and minimizing human errors deploying to AWS Infrastructure.
  • Reduced the amount of time taken to update datasets for clients by half with automation around manual repetitive workflow using bash.
  • Minimized the time we take to integrate third-party partners GIS data with our system from around three weeks to one week with automation.
  • Creating APIs using Python frameworks. FastAPI and Flask. The client side was created using react framework
Software Developer
Employment
Nov 2016 - Present
Andela Company
Technology Industry
Project: Software Developer
  • Docker
  • AWS S3
  • Kubernetes
  • Google Cloud
  • Terraform
  • React
  • Python
  • Improved developer workflow, increased stability and scalability of our systems by breaking up the monolithic apps into Micro-Services using docker containers and Kubernetes.
  • Created and maintained fully automated CI/CD pipelines for code deployment using CircleCI Deploy and Travis to Google Cloud Platform(GCP).
  • Actively managed, and monitored cloud infrastructure on GCP, VMs, and RDS, including backups, patches, and scaling using Ansible and Terraform.
  • Maintained static content like images on AWS s3 buckets.
  • Integrated Python Flask/FastAPI APIs with Client side created using react framework.
LD Experience
Client Projects
Developer
Contract
Apr 2021 - May 2021
personal Client's Company/Project
  • AWS
  • Google Cloud
    Responsive and quick
    Review given by the client for this project.
    Video Projects
    How to implement django-tenant-schemas with a fixed URL
    Sep 2020 - Jan 2022
    Frontend Developer
    Technology
    • Kubernetes
    • AWS S3
    • Google Cloud
    • Terraform
    • Docker
    • Python
    • React
    • Led user research for a new construction site documentation tool.
    • Hosted workshops to synthesize user insights into design requirements.
    • Designed 3D concepts and built prototypes to investigate new tool form factors.
    • Researched existing digital solutions and prioritized key features for app release.
    Website Links
    • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
    • https://agile-headland-01373.herokuapp.com/
    Github Links
    • https://github.com/MainaKamau92/rickandmortycharacters
    • https://github.com/learningdollars/mainak-django-tenant-schemas
    LD Ventures
    Thea
    Sep 2020 - Jan 2022
    Frontend Developer
    Technology
    • Kubernetes
    • AWS S3
    • Google Cloud
    • Terraform
    • Docker
    • Python
    • React
    • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
    • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
    • I used the REST architecture in designing my API.
    • Researched existing digital solutions and prioritized key features for app release.
    Website Links
    • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
    • https://agile-headland-01373.herokuapp.com/
    Github Links
    • https://github.com/MainaKamau92/rickandmortycharacters
    • https://github.com/learningdollars/mainak-django-tenant-schemas
    Qualifications
    Education
    Jomo Kenyatta University of Agriculture and Technology
    Sep 2012 - Jun 2016
    B.SC (Analytical Chemistry)
    Reviews
    Client Project Reviews
    personal
    Responsive and quick
    Interview Reviews
    dynamicinsight
    Interview was good, but focus was more on DevOps than on backend work. Will contact again in case we need someone for DevOps work
    Subscription successful
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