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Web Application

Financial Analytics Dashboard

Designed and built a complex financial analytics dashboard processing real-time data streams for enterprise decision making.

12 weeks
Duration
2 people
People Involved
6
Deliverables
Financial Analytics Dashboard

The Challenge

The client was struggling with legacy reporting tools that took hours to generate basic financial reports. They needed a real-time analytics platform capable of processing millions of rows of transaction data with sub-second query times.

The Solution

I built a high-performance React frontend paired with a Node.js backend tailored for heavy data aggregation. I implemented advanced charting, Redis for caching, and a robust PostgreSQL data warehouse architecture.

Key Results

  • Reduced report generation time from hours to milliseconds
  • Successfully handles 5M+ daily transaction records
  • Adopted by 500+ daily active enterprise users

Project Timeline

01

Data Architecture

3 weeks
02

Backend APIs & Caching

4 weeks
03

Frontend & Visualization

4 weeks
04

Testing & Rollout

1 week

Impact Metrics

<100ms
Query Speed
for complex reports
5M+
Data Volume
daily rows processed
99.99%
Uptime
mission critical SLA
100%
User Adoption
legacy system phased out

Technology Stack

01

React

Custom charting and highly interactive data tables capable of rendering thousands of data points without blocking the main thread.

02

Node.js

High-throughput API layer utilizing streaming for heavy data aggregation tasks.

03

Redis

Aggressive caching layer for frequently accessed summary reports and user sessions.

04

PostgreSQL

Optimized schema utilizing materialized views and partitioning for time-series financial data.

05

AWS

Backend services orchestrated on AWS ECS with auto-scaling to handle end-of-month reporting spikes.

Deliverables

Real-time analytics web application
Interactive data visualization engine
High-performance data aggregation API
Role-based access control (RBAC)
Automated daily reporting system
Comprehensive data architecture

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