Python developer

На данный момент Senior Software Engineer.

Мои компетенции и опыт

Ethan Lim

Singapore | нужен доступ к резюме | нужен доступ к резюме | нужен доступ к резюме

Summary

Seasoned Python Developer with 10+ years of experience designing and delivering high-performance backend applications and microservices. Expertise in Python, Flask, FastAPI, RabbitMQ, MySQL, PostgreSQL, and ClickHouse, with strong knowledge of OOP, clean architecture, and CI/CD pipelines. Skilled in building data analysis and collection systems, optimizing database performance, and maintaining secure, scalable infrastructures. Proven ability to enhance developer experience, improve reliability, and lead complex projects in fast-paced, cross-functional environments.

Experience

Rescode | Senior Software Engineer May 2022 ~ Present

• Developed and maintained Python microservices with Flask and FastAPI, reducing request latency by 38%.
• Designed data collection and analytics applications, improving data processing throughput by 45%.
• Implemented RabbitMQ-based messaging for inter-service communication, increasing reliability and scalability.
• Optimized MySQL and PostgreSQL queries, boosting database performance by 32%.
• Applied clean architecture principles to all services, enhancing maintainability and testability.
• Built Dockerized development and production environments, streamlining deployments.
• Introduced automated CI/CD pipelines, reducing deployment errors by 25%.
• Conducted code reviews and enforced Python best practices across the team.
• Mentored 3 junior developers, improving onboarding efficiency and code quality.
• Developed monitoring and logging tools to reduce incident response time by 40%.
• Implemented security best practices across microservices, mitigating potential vulnerabilities.
• Collaborated with Product and Data teams to define scalable architectures for analytics pipelines.
• Refactored legacy Python modules into modular, maintainable structures.
• Enhanced API response times with caching strategies and query optimizations.
• Integrated external APIs for data ingestion, improving system reliability by 22%.
• Created and maintained technical documentation and architecture diagrams.
• Improved unit test coverage to 90%, reducing production bug rates by 35%.
• Optimized system performance for handling high-volume IoT data streams.
• Conducted architecture reviews and performance profiling for all new services.
• Implemented best practices for database migrations and schema versioning.
• Facilitated cross-team workshops to improve coding standards and architectural alignment.
• Coordinated sprint planning and backlog refinement with stakeholders.

Doodle Labs | Senior Full Stack Engineer Apr 2019 ~ Apr 2022

• Developed Python backend services for SaaS applications using Flask and FastAPI.
• Designed and optimized PostgreSQL and MySQL schemas for high-traffic applications.
• Built scalable data ingestion pipelines, improving throughput by 30%.
• Integrated RabbitMQ for asynchronous job processing, reducing service latency by 28%.
• Applied OOP principles and clean architecture for maintainable codebases.
• Implemented CI/CD pipelines and automated testing, increasing deployment reliability.
• Mentored junior developers in Python best practices and microservices development.
• Conducted code reviews to ensure high-quality, readable, and maintainable code.
• Collaborated with Product and Analytics teams on data-driven feature development.
• Optimized backend services for high concurrency and fault tolerance.
• Implemented monitoring, logging, and alerting systems to improve system uptime.
• Enhanced security practices across all services, protecting sensitive data.
• Refactored legacy code into modular microservices, improving maintainability.
• Improved data processing pipelines for faster analytics and reporting.
• Documented architecture, APIs, and workflows for cross-team collaboration.
• Led sprint planning and backlog prioritization sessions.
• Implemented caching strategies to reduce database load and improve response times.
• Designed reusable Python modules to standardize service development.
• Conducted load testing and performance tuning for production systems.
• Coordinated deployments across staging and production environments.

Wise | Full Stack Engineer May 2015 ~ Feb 2019

• Built backend Python services for financial and analytics applications.
• Developed MySQL and PostgreSQL databases, optimizing queries and schema design.
• Integrated third-party APIs for payments and data aggregation.
• Applied OOP and modular architecture principles for maintainable codebases.
• Created unit and integration tests to ensure reliability and reduce production issues.
• Implemented CI/CD pipelines for automated deployments and testing.
• Collaborated with cross-functional teams to deliver scalable backend solutions.
• Conducted performance profiling and optimized slow queries and services.
• Mentored interns and junior engineers in Python and backend best practices.
• Built logging and monitoring tools to improve observability.
• Refactored legacy modules into reusable and modular Python packages.
• Enhanced application security and adherence to coding standards.
• Participated in architecture design discussions for data-intensive systems.
• Optimized backend workflows for improved throughput and reduced latency.
• Delivered features with measurable improvements in performance and reliability.

Education

National University of Singapore Aug 2009 ~ Jul 2013

Bachelor’s Degree in Computer Science

Skills

• Backend & Microservices: Python, Flask, FastAPI, RabbitMQ, Microservices development, OOP, clean architecture, CI/CD, Docker, Git, Linux
• Database & Data Systems: MySQL, PostgreSQL, ClickHouse, Redis, RocksDB, query optimization, data modeling
• Performance & Reliability: System scalability, debugging, monitoring, code quality, unit testing, application performance tuning
• Collaboration & DevOps: Agile workflows, documentation, code reviews, cross-functional communication, mentorship
• IoT/IIoT & Analytics: Data collection systems, analytics applications, high-throughput processing