09/04/2024 updated
IM
100 % available
Senior Software Engineer, Software Engineer, Frontend Engineer
Nairobi, Kenya
Only remote
Java (Programming Language)JavaScriptApplication Programming Interfaces (APIs)Amazon Web ServicesAmazon S3Data AnalysisAtlassian JiraUnit TestingCode CoverageComputer ProgrammingContinuous IntegrationCronWeb ScrapingData SystemDjango
3D mapping, AWS Lambda, DynamoDB, AWS RDS, AWS S3, SQS, AWS, Angular, Kafka, Apache Kafka, API, bugs reporting, celery, CloudWatch, code coverage, codebase, programming, CI/CD, Cronjob, Cypress, data analytics, Data Analysis, data processing, data solutions, Datadog, Django, Django Rest Framework, Docker, ELK Stack, event logging, FastAPI, Flask, Frontend, Git, Github, Jira, Java, Java EE, Javascript, Kubernetes, Microservices, microservice architecture, mobile applications, Mocha, MongoDB, Multi-Threading, MySQL, Node.js, Nodejs, Playwright, PostgreSQL, Postgres, PyTest, Python, React.js, ReactJs, Redis, Rest API, Rest APIs, routing, SQL, SQLAlchemy, Agile/Scrum, Scrum team, Software Engineering, TypeScript, Unit Test, unit tests, web scraping
Languages
GermanGoodEnglishGood
Project history
Project: Firmatek - Texas-based data solutions for 3D mapping used
majorly by governments and clients in the mining industry.
* Led a scrum team of 9 people, and built a new data processing and
visualization microservice using Python, Fast API, and Nodejs, which
scaled our data analytics services by 200%.
* Improved our API access speed and reduced Infrastructure cost
significantly using Python, JavaScript, Node.js, React.js, Kubernetes,
and AWS.
* Customized and Integrated multiple Python-based GIS tools in our
platform, which improved our data processing analysis time and
analysis time of civil engineers by 60%.
* Built CI/CD pipelines integrated with Unit and Behavioral tests, which
reduced the deployment time by 45% and the bugs reporting by 90%.
Tech used: Python | Fast API | Node.js | AWS | Postgresql | ReactJs |
Apache Kafka | Microservices | Docker | Kubernetes.
Project: The Zebra - Texas-based insurance platform based on MLE and
Data Analysis to deal with 100k+ clients.
* Part of a Scrum team of 6, developed the microservice architecture
and optimized the codebase using Python, Django, Kubernetes, and
AWS.
* Reduced manual effort by 80% by automating the complete platform
and integrating 10+ Rest APIs. Optimized the pricing analysis
microservice which saved $100k in revenue through automated web
scraping.
* Worked on an event logging script to Datadog, that was sharing
insights about customer journeys using our products, this increased
the customer conversion rate by at least 30%
Technologies used: Python | Django | SQLAlchemy | Node.js | AWS |
Datadog | Apache Kafka | Postgres | Microservices | AWS Lambda. |
Docker | Kubernetes.
majorly by governments and clients in the mining industry.
* Led a scrum team of 9 people, and built a new data processing and
visualization microservice using Python, Fast API, and Nodejs, which
scaled our data analytics services by 200%.
* Improved our API access speed and reduced Infrastructure cost
significantly using Python, JavaScript, Node.js, React.js, Kubernetes,
and AWS.
* Customized and Integrated multiple Python-based GIS tools in our
platform, which improved our data processing analysis time and
analysis time of civil engineers by 60%.
* Built CI/CD pipelines integrated with Unit and Behavioral tests, which
reduced the deployment time by 45% and the bugs reporting by 90%.
Tech used: Python | Fast API | Node.js | AWS | Postgresql | ReactJs |
Apache Kafka | Microservices | Docker | Kubernetes.
Project: The Zebra - Texas-based insurance platform based on MLE and
Data Analysis to deal with 100k+ clients.
* Part of a Scrum team of 6, developed the microservice architecture
and optimized the codebase using Python, Django, Kubernetes, and
AWS.
* Reduced manual effort by 80% by automating the complete platform
and integrating 10+ Rest APIs. Optimized the pricing analysis
microservice which saved $100k in revenue through automated web
scraping.
* Worked on an event logging script to Datadog, that was sharing
insights about customer journeys using our products, this increased
the customer conversion rate by at least 30%
Technologies used: Python | Django | SQLAlchemy | Node.js | AWS |
Datadog | Apache Kafka | Postgres | Microservices | AWS Lambda. |
Docker | Kubernetes.
Project: Appsolute Mobile, a German based reporting tool that enables
users to create apps without any programming knowledge.
* Part of a cross-functional team of 11 to deliver at least 2
customer-specific projects on time and within budget.
* Spearheaded the design and development of 5 customer-specific
mobile applications, resulting in a 30% improvement in user
engagement and satisfaction.
* Diagnosed and resolved complex technical issues, resulting in a 20%
decrease in app crashes and improved app stability.
Tech used: Django | Python | AWS | MySQL | Angular.
users to create apps without any programming knowledge.
* Part of a cross-functional team of 11 to deliver at least 2
customer-specific projects on time and within budget.
* Spearheaded the design and development of 5 customer-specific
mobile applications, resulting in a 30% improvement in user
engagement and satisfaction.
* Diagnosed and resolved complex technical issues, resulting in a 20%
decrease in app crashes and improved app stability.
Tech used: Django | Python | AWS | MySQL | Angular.
Project: E-commerce app in Nairobi Kenya for farmers in Africa, enabling
them to access credit and market for their farm products. Implemented
a React. js-based Microfrontend using Angular and React.js. Decreased
load time by 30%, which optimized the page load time by following
module-wise routing. Tech used: Javascript | React.js || AWS S3 | Docker.
them to access credit and market for their farm products. Implemented
a React. js-based Microfrontend using Angular and React.js. Decreased
load time by 30%, which optimized the page load time by following
module-wise routing. Tech used: Javascript | React.js || AWS S3 | Docker.