Python · FastAPI · PostgreSQL · Docker

Scalable REST API
Platform

Designed and deployed a production-grade REST API backend serving real-time game telemetry, player analytics, and revenue data — handling thousands of concurrent requests with sub-100ms response times.

Client

Gimme Games Productions

Role

Senior Backend Engineer / Tech Lead

Duration

May 2023 – Present

Team Size

4 Engineers

GET/players/{id}/stats

POST/events/telemetry

GET/analytics/retention

POST/auth/token

GET/revenue/dashboard

DEL/sessions/{id}

// 200 response · /players/{id}/stats

{

"player_id": "p_8f3a91",

"session_count": 847,

"retention_score": 0.91,

"revenue_ltv": 142.50,

"latency_ms": 74

}

Player records served daily

0ms

Average API response time

Increase in user engagement

Uptime SLA maintained

API Design

Endpoint Architecture

RESTful API with JWT authentication, rate limiting, and versioned endpoints — designed for scale and easy third-party integration.

MethodEndpointDescriptionAuth

GET/v2/players/{id}/statsPlayer stats & telemetryJWT

POST/v2/events/telemetryIngest game eventsAPI Key

GET/v2/analytics/retentionRetention cohort dataJWT

GET/v2/revenue/dashboardRevenue & LTV metricsJWT

POST/v2/ab-tests/resultsA/B test outcome dataJWT

PUT/v2/players/{id}/segmentUpdate player segmentJWT

DELETE/v2/sessions/{id}Terminate sessionAdmin

System Design

Backend Architecture

Clients

Mobile App

Flutter / iOS

Web Dashboard

React Frontend

3rd Party

Partner APIs

→

API Gateway

FastAPI

JWT · Rate Limit

Uvicorn

Async Workers

Docker

Containerized

→

Data Layer

PostgreSQL

Primary DB

Redis

Cache / Sessions

Power BI

Analytics Layer

Overview

🔴 The Problem

Game telemetry and player data siloed in separate systems with no unified API layer
Manual reporting causing 24hr delay in player engagement and revenue insights
No A/B testing infrastructure — product decisions made without data
Monolithic architecture unable to scale during game launch traffic spikes

🟢 The Solution

Built RESTful microservices API with FastAPI, async processing, and JWT auth
Designed real-time telemetry ingestion pipeline with instant dashboard refresh
Implemented A/B testing framework — improved player retention by 10%
Containerized with Docker, deployed on cloud with auto-scaling and CI/CD

Performance Benchmarks

API Performance

Player Stats Endpoint — avg response74ms

Telemetry Ingest — throughput12,000 events/sec

DB Query Optimization — speed gain+15% faster

User Engagement Improvement (A/B)+10% retention

System Uptime SLA99.9%

Technology Stack