Senior FullStack Software Engineer

A highly skilled and results-driven full-stack developer with over 15 years of proven experience in designing and developing desktop, web-based, mobile, and GIS applications. P. has successfully executed both small and large-scale IT project

• ASP.NET
• C#
• Docker
• Kubernetes
• Microsoft SQL Server Analysis Services (SSAS)
• PHP
• React (JavaScript library)
• Software Architecture
• Software engineering / -technik
• Transact-Sql

found in profile description
In terms of recent work experience:

At the International Trade Center, Geneva, Switzerland (2020 - 2023), I designed, developed, and maintained
ITC’s SheTrades web and mobile platforms, facilitating women-owned enterprises in global trade.

In my role as a Senior Technology Associate at One Acre Fund, East Africa (2015 - 2020), he was part of a
global team, focusing on designing and developing scalable systems supporting innovative business models
across several African countries. These systems encompassed web and mobile applications, including Mobile
Money, SMS/USSD, Solar PayGo, Business Intelligence/Reporting, and Logistics optimization tools.

Additionally, during my tenure as a Lead Developer/Co-founder at Kimetrica, Nairobi, Kenya (2006 - 2012), he
served as the architect and lead developer of ki-Projects, creating one of the leading web-based project
management software solutions for nonprofits globally. My work also involved designing and developing
desktop and web-based GIS systems for demographic analysis, poverty analysis, survey mapping, and project
management.

TECHNICAL SKILLS
• Backend- C# , PHP, Python, NodeJs
• Frontend – JavaScript, React, Angular, Typescript
• Database – MySQL, PostgreSQL, MS SQL Server, Oracle, NOSQL(CouchDB, Redis, MongoDB)
• DevOps- Docker, Kubernetes, Jenkins, CI/CD pipelines (including Azure DevOps), Ansible, Git,
Terraform, cloud platforms (AWS, Azure), and monitoring tools such as Prometheus, Splunk, and
Elasticsearch.
• GIS -ArcGIS desktop/server, QGis, OpenLayers, Open Street Maps, Google Maps, Bing.
• Data Analysis - R, SAS, SPSS.
• Data Visualization- Tableau, Power BI, Matplotlib,ggplot2.