Full Stack Developer

McKinsey & Company (via Nagarro)

India

August 2015 - August 2017

Designed and developed a comprehensive web-based system for leading manufacturing industries to track overall effectiveness, automate reporting, and integrate with legacy systems for improved manufacturing practices.

Project Title:

Manufacturing Effectiveness Measurement System

Role:

Full Stack Developer

1

Team Size

24 months

Duration

Problem & Solution

Challenge

Manufacturing industries needed a modern system to track operational effectiveness, generate automated reports, and integrate with existing legacy systems for comprehensive manufacturing oversight.

Solution

Built Angular and Node.js based platform with MySQL database, Docker containerization, and AWS deployment, featuring automated reporting, legacy system integration, and comprehensive analytics dashboard.

Technologies Used

AngularAngular
TypeScriptTypeScript
Node.jsNode.js
Express.jsExpress.js
MySQLMySQL
DockerDocker
AWSAWS

Architecture Patterns

Full-Stack Architecture
Microservices
Legacy Integration
Automated Reporting

Key Responsibilities

Designed and developed manufacturing effectiveness tracking system

Implemented automated reporting and analytics features

Integrated with legacy systems and third-party applications

Built comprehensive dashboard with charts and downloadable reports

Key Achievements

Created comprehensive manufacturing effectiveness platform with automated insights

Improved manufacturing practices and operational effectiveness tracking for industry leaders

Automated reporting
Legacy system integration
PDF/Excel exports
Real-time analytics

Project Outcomes

Operational Tracking

Real-time effectiveness

Comprehensive manufacturing effectiveness measurement

Automated Reporting

Streamlined processes

PDF/Excel reports with charts and analytics

System Integration

Legacy compatibility

Seamless integration with existing manufacturing systems

Manufacturing Insights

Data-driven decisions

Enhanced manufacturing practices through analytics

Challenges Faced

Integrating with diverse legacy manufacturing systems

Creating meaningful effectiveness metrics and KPIs

Implementing automated report generation with charts

Ensuring real-time data accuracy and synchronization

Lessons Learned

Legacy system integration requires flexible architecture

Manufacturing data needs careful validation and processing

Automated reporting significantly improves operational efficiency

Real-time dashboards drive better manufacturing decisions