Samuel Munge

Results-driven Data and Software Engineer with a strong foundation in building scalable data pipelines, optimizing ETL workflows, and developing web applications. Proven expertise in containerization, real-time data streaming, and automated orchestration using modern data stack tools like Python, Apache Kafka, Airflow, and Docker. Adept at transforming raw, complex datasets into actionable business intelligence through dynamic visualizations.

Freelance Data Engineer at Self-Employed (2023-04 – Present)

• End-to-End Data Pipelines: Architect and deploy automated pipelines to ingest, clean, and process diverse datasets (API, CSV, real-time streams) using Python and Pandas.
• Workflow Orchestration: Design and manage Apache Airflow DAGs for automated daily ingestion, data normalization, and failure recovery mechanisms, significantly improving data freshness and reliability.
• Real-Time Data Streaming: Implement Apache Kafka topics to stream live traffic sensor and environmental data for real-time analytics.
• Containerization: Package and deploy pipeline components via Docker and Docker Compose to ensure seamless environment consistency and scalable performance.
• Business Intelligence: Design and implement interactive Power BI dashboards to track metrics such as vaccination progress, traffic congestion patterns, and long-term environmental trends.

Software Engineering Attaché at Amband Ltd (2025-06 – 2025-09)

• Full-Stack Development: Contributed to building the official website for the National Wildlife Conservation Department.
• Frontend Engineering: Developed responsive, dynamic user interfaces utilizing Bootstrap CSS and Alpine.js.
• Backend & Database Management: Built backend components using the PHP CodeIgniter framework and engineered the database schema using MySQL.

Diploma in Software Engineering – Zetech University (2023-09 – 2025-12)