Thuan Tran Vinh
Senior Backend & Distributed Systems Engineer
Vietnam
Professional Summary
Backend-focused software engineer specializing in high-performance APIs, distributed systems, data pipelines, and production reliability. I have designed and shipped systems across fintech and healthcare domains, working with distributed teams across Asia, the Middle East, and Australia.
Core Skills
Backend
PythonDjangoDjango REST FrameworkFastAPISQLAlchemy
Distributed Systems
Apache KafkaCeleryRedisWebSocketsAWS SQS
Databases
PostgreSQLMySQLCouchbaseAlembic
Cloud & DevOps
AWS LambdaAWS API GatewayAWS SageMakerAWS S3AWS RDSDockerCI/CDGithub ActionsJenkins
Observability
Elastic APMOpenTelemetryELK Stack
Testing & Quality
Unit TestingIntegration TestingpytestCode Review
Experience
PEGB — Backend Engineer
UAE (Remote) · Remote
2023 – Present
- Optimized main list APIs by eliminating N+1 query patterns — reduced response time from ~4s to 0.5s.
- Designed and built a Kafka-based data pipeline to migrate data from Couchbase to MySQL, reducing processing time from ~8 hours to ~5 minutes.
- Refactored legacy services: extracted non-critical logic from transactions and applied retry logic with exponential backoff.
- Designed new CMS API set that consolidated 21 endpoints to 9, simplifying maintenance and developer experience.
- Enhanced Kafka consumers with retry logic, structured logging, and failed-message tracking for manual reprocessing.
- Upgraded Python base image from 3.7 (EOL) to 3.12 across all services.
- Set up Jenkins CI pipeline; raised test coverage to 80%+ on brownfield services and 90%+ on greenfield services, reducing reported bugs by 70%.
PTN Global — Backend Engineer → Tech Lead
Australia (Remote) · Remote
2021 – 2023
- Built REST APIs for patient, study, and report management using AWS API Gateway + Lambda + PostgreSQL.
- Designed and implemented a real-time WebSocket notification system using AWS API Gateway WebSocket APIs, Lambda, and SQS.
- Built a PDF generation pipeline: ETL from REDCap via EventBridge + Lambda, rendering with PyMuPDF, storage on S3.
- Deployed multiple ML models (regression, XGBoost, NLP) to AWS SageMaker real-time endpoints.
- Promoted to tech lead: led planning, code reviews, mentoring, and knowledge transfer for a 5-person team.
- Produced proof-of-concept demos directly with Australian data scientists and clinicians.
Selected Achievements
- Reduced list API response time from ~4s to 0.5s by eliminating N+1 ORM query patterns.
- Built a Kafka data pipeline that cut data migration time from ~8 hours to ~5 minutes.
- Raised test coverage to 80%+ on brownfield services; QA reported 70% reduction in bugs.
- Consolidated a 21-endpoint CMS API surface down to 9 endpoints.
- Promoted to tech lead at PTN Global; managed a 5-person team while contributing as IC.
Projects & Case Studies
- Optimizing a Critical API from 4s to 0.5s — Django ORM query optimization, N+1 analysis.
- Building a Kafka Data Pipeline: 8 Hours to 5 Minutes — Fan-out/fan-in Kafka pipeline design.