Motebang Lebusa

Senior Software Engineer building production-scale APIs that process millions of records and UIs and visualisations consuming them

Node.js • TypeScript/JavaScript • PostgreSQL • React • Music Analytics • Climate Tech

100M+
Records Managed
1TB+
Database Scale
8+ Years
Production Experience
24ms
Median API Response

Core Technical Expertise

Backend & Cloud Infrastructure

8+ years building production TypeScript/Node.js systems managing 100M+ records and 1TB+ databases on GCP/AWS. Expert in API design, SQL optimization, infrastructure as code, CI/CD pipelines, and maintaining 99.9% uptime for high-performance, low-latency government and enterprise systems.

GCP AWS Node.js TypeScript Nest.js Express PostgreSQL BigQuery Redis Docker Ansible

UI Development & Analytics

Build production React/Next.js applications with polished, mobile-first interfaces and real-time analytics dashboards. Expert in Figma design, complex data visualizations, and transforming massive datasets (100M+ records, TB-scale) into intuitive experiences. Optimized SQL queries for sub-second performance on terabyte-scale climatic and music analytics systems.

React Next.js Figma UI/UX Design Python R Shiny MongoDB Redis Visualisations

Production Experience

Music Analytics Platform

Music Tech Startup, USA • Remote
Scale & Performance Impact
Architected real-time analytics system processing 100M+ streaming/ticketing records for major artists. Achieved 24-26ms median API response times (94% under 400ms SLA). Optimized BigQuery queries reducing latency by 75%.

Built production TypeScript APIs and interactive R Shiny dashboards transforming massive GCP music datasets into real-time KPIs for artist managers. Designed RESTful endpoints, implemented Redis caching strategies, and created custom JavaScript visualizations for touring and venue analytics.

  • Designed user interfaces and workflows in Figma, bridging product and engineering teams
  • Built interactive React dashboards with custom JavaScript visualizations for streaming analytics
  • Created mobile-first Flutter application for on-the-go analytics access
  • Performed API benchmarking with 5,000+ requests validating production scalability
  • Collaborated remotely with cross-functional teams
TypeScript Node.js PostgreSQL BigQuery Redis GCP R Shiny Flutter
Real-time Analytics
100M+ Records
Sub-second Queries

National Climate Data Infrastructure

Meteorological Department • Tech Lead
Government-Scale Impact
Architected national climate data platform managing 1TB+ databases with 20M+ records. Maintained 99.9% uptime for critical government infrastructure. Collaborated with international institutions on multi-terabyte climate datasets.

Built production TypeScript/Nest.js APIs and React frontends for climate data platforms. Deployed high-availability Linux infrastructure using Ansible, implemented monitoring and failover protocols, and created secure Nextcloud-based collaboration system.

  • Developed React dashboards consuming Nest.js APIs for real-time climate data visualization
  • Built data visualization interfaces displaying time-series climate patterns and analytics
  • Managed PostgreSQL/MySQL databases at terabyte scale with 20M+ time-series records
  • Automated deployment pipelines using Ansible and bash scripting
TypeScript Nest.js PostgreSQL React MongoDB Ansible Linux
1TB+ Databases
99.9% Uptime
National Infrastructure

National ODS Environmental Registry

Meteorological Department • Tech Lead
Digital Transformation Impact
Built department's first digital environmental compliance system. Eliminated 85% of manual reporting overhead, processing 1000s ODS transactions annually with real-time trend analytics, and improved accuracy and reliability of data.

Architected end-to-end MERN stack platform replacing paper-based workflows. Built RESTful APIs with JWT authentication, created interactive React frontend with Victory charts visualizations for regulatory trend analysis, and designed intuitive role-based access system serving government and private stakeholders, and international community.

  • Designed and implemented responsive React UI with real-time data visualization dashboard
  • Built custom Victory charts displaying ODS trends, import/export patterns, and compliance metrics
  • Created mobile-responsive interface accessible across government agencies
MongoDB Express.js Next.js/JavaScript Nest.js/TypeScript Victory Charts JWT Auth
1000+ Transactions
97% Accuracy
85% Time Saved

National Data Library Platform

Meteorological Department • Lead System Admin
Data Infrastructure Impact
Co-deployed the government data portal centralizing 800GB+ datasets. Reduced inter-agency data access from days to minutes, improving collaboration by 60% centralised data access and multi-sectoral data visualisations

Designed scalable infrastructure handling multiple data formats with large-scale data visualisations and analytics. Created a portal for accessing and visualising early warning and action for humanitarian assistance.

Python PostgreSQL Docker Visualisations
800GB+ Datasets
Data Portal
Real-time Analytics

Let's Build Something Production-Ready

I architect and deliver scalable Node.js/TypeScript systems that handle real production loads. From API design to database optimisation to cloud deployment, I solve complex technical challenges that drive business outcomes.