CASE STUDY #02
Full-Stack & Data Analytics
CIS 2.0 & Real-Time Cargo Analytics Dashboard
Executive air cargo intelligence platform synthesizing millions of operational logs into sub-second interactive analytics without impacting transactional database throughput.
React
Node.js
MongoDB Aggregations
Ant Design
Performance Tuning
Query Latency
Sub-Second
Data Volume
Millions of Logs
Reporting Shift
Real-Time vs EOD
The Operational & Engineering Challenge
Heavy day-to-day air cargo operations generated millions of operational logs. Leadership required sub-second visibility into production volume and client-tier revenue without causing read contention on the operational database.
Engineering Solution
- Designed an executive analytics dashboard using React and Ant Design.
- Structured multi-stage MongoDB aggregation pipelines to summarize historical data efficiently.
- Optimized indexing strategies and implemented query caching to minimize database execution time.
Architectural Deep Dive
- Compound index alignment and $match/$project early-stage filtering across multi-million document collections to eliminate collection scans.
- Decoupled analytical read pathways and intelligent TTL caching so live cargo scanning terminals experience zero write lock contention.
- Interactive drill-down views in React + Ant Design for tonnage trends, airline partner SLA tracking, and client-tier revenue attribution.
Result & Impact
Replaced manual end-of-day spreadsheet reconciliation with real-time, interactive insights for flight cargo capacity planning.
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