Monica Muyama

Monica Muyama

Email: muyamamonica@gmail.com | Phone: +256 773 796 027 GitHub: https://github.com/monicamuyama | LinkedIn: https://www.linkedin.com/in/monica-muyama-83333a

PROFESSIONAL SUMMARY

Software Engineering graduate with experience in data engineering, backend systems, and IT infrastructure support. Skilled in building and optimizing ETL pipelines, SQL workflows, and scalable backend systems.

Experienced in Linux environments, Docker, CI/CD pipelines, and system monitoring, with a focus on writing clean, maintainable, and efficient code.

TECHNICAL SKILLS

Languages: Python, Java, PHP, JavaScript, Bash Data: SQL, Data Modeling, ETL Pipelines, Pandas, NumPy Backend: Laravel, Next.js, REST APIs Systems: Linux, Docker, Jenkins, Virtual Machines Monitoring: ELK Stack, Log Analysis Cloud: AWS (Lambda, Serverless)

PROJECTS

Modular ETL Pipeline System

  • Designed a modular ETL pipeline using OOP principles to improve maintainability and reduce duplication
  • Built reusable components for data ingestion, transformation, and validation
  • Integrated SQL-based data extraction and storage

Log Monitoring System (ELK Stack)

  • Deployed centralized logging using Elasticsearch, Logstash, and Kibana
  • Built dashboards for real-time system monitoring and debugging
  • Containerized services using Docker

Web Scraping & Data Processing Tool

  • Developed Python scripts for automated data extraction and cleaning
  • Processed structured data using Pandas for reporting and analytics

PROFESSIONAL EXPERIENCE

ACE-IDIS — Intern Volunteer

  • Refactored ETL pipelines using OOP, improving maintainability and reducing duplication
  • Developed SQL queries and data workflows for analytics
  • Designed structured data schemas for consistency
  • Contributed to web applications using Next.js

Makerere University ICT — Network Volunteer

  • Provided system support, troubleshooting, and maintenance
  • Deployed ELK Stack for monitoring and logging
  • Managed Docker containers and Jenkins pipelines
  • Automated system tasks using Bash

Refactory Academy — Apprentice

  • Contributed to a RAG-based support system
  • Performed web scraping and data preprocessing

EDUCATION

Makerere University BSc Software Engineering (2021 – 2026)

LEADERSHIP

  • Organizing Committee — PyCon Africa 2026
  • Head of Open Source — PyData Kampala
  • Former Chairperson — Nsi-JB Community

ADDITIONAL

  • Strong analytical and problem-solving skills
  • Experience working in collaborative engineering environments
  • Passion for data systems and backend development

REFEREES

Available upon request