Backend & infrastructure engineer focused on distributed systems, cloud-deployed APIs, and data pipelines that operate at scale.
Backend Systems Spring Boot 3 REST APIs, Python ingestion pipelines, PostgreSQL schemas, batch processing workflows, and event-driven integrations deployed on AWS with Docker and automated via GitHub Actions CI/CD.
Observability & Infra OpenTelemetry distributed tracing, Grafana Cloud dashboards, Redis caching, environment-driven configuration, and production-grade deployment on AWS EC2.
Data Pipelines Automated ingestion from external sources (IRS, MTA) using Python, AWS Lambda, S3, and scheduled triggers with validation, versioning, and downstream API serving.
A production-deployed developer tool serving versioned US marginal tax rate data via a REST API, queryable by filing status and income bracket.
| Layer | Stack |
|---|---|
| API | Java 17, Spring Boot 3, PostgreSQL |
| Ingest | Python, AWS Lambda, S3, EventBridge |
| Infra | AWS EC2, Docker, Cloudflare |
| CI/CD | GitHub Actions (separate build + deploy workflows) |
| Observability | OpenTelemetry, Grafana Cloud, Tempo |
| Caching | Redis (Redis Cloud, manual RedisTemplate) |
Live: api.ratesatlas.com
Repos: RateAtlas ·
rateatlas-api ·
rateatlas-ingest ·
rateatlas-frontend
Languages: Java · Python · TypeScript · SQL
Frameworks: Spring Boot · React · Node.js · Flask
Infra & Cloud: AWS (EC2, S3, Lambda) · Docker · GitHub Actions
Data: PostgreSQL · Redis · Pandas · GeoPandas
Observability: OpenTelemetry · Grafana Cloud · Tempo
Testing: JUnit · Pytest · Postman
[email protected] · linkedin.com/in/hamzatolowu · api.ratesatlas.com