Distributed Employee Experience & Analytics Pipeline

System Architecture

[ Slack / MS Teams / Email ]
       ▲
       │ (Notifications & Webhooks)
[ Django REST API Services ] ◄───► [ Redis Cache & Pub/Sub ]
       │                                   │
       ├──► [ Scheduling Engine ]           ▼
       │         │               [ Celery Cron & Task Queue ]
       │         ▼                         │
       │   [ Event Dispatcher ] ───────────┘
       │
       └──► [ PostgreSQL Relational DB ]
                 ├──► [ Team & User Profiles ]
                 ├──► [ Pulse Survey Responses ]
                 └──► [ Materialized Aggregations ]

Core Technical Challenges

• Scheduled Event Dispatching: Triggering thousands of time-zone-aware pulse surveys and feedback loops concurrently without overwhelming downstream messaging APIs (Slack, Teams, Email).
• Real-Time Data Aggregation: Computing complex engagement metrics, sentiment scores, and historical trend lines across dynamic organizational hierarchies.
• High Query Load on Analytics: Preventing performance degradation on reporting dashboards when executing multi-dimensional joins across millions of survey responses.

Implementation & Engineering Highlights

Automated Timezone-Aware Scheduling Core

Engineered a distributed scheduling service using Celery Beat and Redis to dispatch pulse surveys dynamically based on user localization, work hours, and team schedules. Built rate-limiting wrappers around Slack and Microsoft Teams Webhook APIs to respect vendor throttling.

Real-Time Event Aggregation Pipeline

Designed optimized Django REST Framework serializers and database queries utilizing PostgreSQL CTEs (Common Table Expressions) and window functions. Reduced dashboard latency significantly by creating materialized views for heavy historical analytics.

Scalable RESTful API Architecture

Structured modular API endpoints with comprehensive input validation, token-based authentication, and centralized logging. Integrated Docker-based local development and deployment containers for seamless CI/CD integration.

Key Impact & Metrics

• Automated Pulse Surveys: Successfully scheduled and dispatched millions of automated feedback prompts across Slack, Teams, and Email.
• 80% Reduction in Query Latency: Optimized analytical queries with PostgreSQL indexes and materialized views.
• High Availability Delivery: Maintained robust error-retry mechanisms for third-party messaging integrations with zero missing notifications.