
My Role
As software engineer, I was responsible for implementing real-time new data dashboards and visualisations on map, integrating with existing data sources and optimizing the database performance, client supports and bug fixes.
Key Responsibilities
- Developed data transformation and aggregation tool for displaying data on geographical map
- Mentored and helped new junior developer to get onboard
- Provided technical support to internal team and clients
Technical Implementation
Implementation Details
A comprehensive data visualization platform that enables users to both transform raw data and create visualizations in a few clicks.
Technical Challenges
- Adapting existing transformation logic to a new unified data pipeline platform
- Previewing data in a table format
Implementation Highlights
- • Standarised transformation logic for each pipeline
- • Drag and drop interface for data pipeline

Implementation Details
Implemented a multiple map overlays feature on existing map, allowing users to overlay multiple data sources on the same map.
Technical Challenges
- Refactoring existing codebase to support multiple map overlays.
- Making sure all different map overlays are compatible with each other.
- Ensuring the map overlays are responsive and work on all devices.
Implementation Highlights
- • Storing map overlays ids on URL query params
- • Combining indicators for multiple map overlays

Implementation Details
Developed a dashboards to PDF tool transforming multiple dashboards into one single PDF file
Technical Challenges
- Ensuring data consistency from dashboards to PDF
- Multiple dashboards data taking a lot of time to process
- Previewing the PDF file before downloading
- Editing label for each dashboard before download
Implementation Highlights
- • React query caching implementation
- • PDF pagination preview on the fly
- • Role-based access control implementation
- • Secure API endpoints for dashboards to PDF worker

Implementation Details
Developed a favorite button (♡) on dashboard. Users can save their frequent visited dashboards to their own favorite collection, which reduces time to locate dashboards among hundreds of them.
Implementation Highlights
- • Integration with existing database user schema to store saved dashboards
- • Lazy update of new favorite dashboards
