Golda Pham - Senior Backend Developer

Golda Pham

4.9

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Golda Pham

4.9

Gender

Male

Language

English - Intermediate

Main expertise

Back-end Node.js NestJS Express.js AWS Redis RabbitMQ Docker CI/CD PostgreSQL MySQL MongoDB

Introduction

Golda Pham is a Senior Backend Developer boasting 8 years of experience in designing, developing, and deploying scalable backend systems utilizing Node.js. With a proven track record in leading teams and constructing robust systems for various industries, Golda is particularly passionate about exploring new technologies and continually enhancing system performance and scalability. Their expertise extends across backend frameworks such as Node.js (including NestJS, Express.js, Fastify, Sails.js, Strapi), databases like MongoDB, MySQL, PostgreSQL, Elasticsearch, Redis, and InfluxDB, as well as proficiently conducting Unit, Integration (using Jest, Mocha), and E2E Testing (with Puppeteer). Experienced in messaging systems like RabbitMQ, MQTT, Kafka, alongside containerization with Docker, Golda is well-versed in CI/CD processes using GitLab Runners and Bitbucket Pipelines, and adept in version control with Git, Bitbucket, and GitLab. Additionally, Golda has comprehensive knowledge of cloud services including AWS (EC2, ELB, VPC, S3) and GCP (GKE, Cloud Build).

Project list

Broker Portal Development

2023 - 2024

Led the end-to-end development of a Broker Portal, integrating it with a Loan Origination System (LOS). This involved the full software development lifecycle from system architecture design to implementation and deployment. The backend APIs were crafted using NestJS, PostgreSQL, and Redis, and successfully deployed on AWS via Bitbucket Pipelines. System health and performance were maintained using monitoring services built with Grafana and Prometheus. Additionally, LOS and MSSQL were deployed on a Windows Server, ensuring a seamless integration with the broker portal.

Designed and implemented backend APIs using NestJS, PostgreSQL, and Redis. Deployed the system on AWS using Bitbucket Pipelines. Developed monitoring services using Grafana and Prometheus to ensure system performance. Deployed the Loan Origination System (LOS) and MSSQL on Windows Server, ensuring smooth integration with the Broker Portal. Wrote unit and integration tests using Jest to maintain code quality.

Technologies: NestJS, PostgreSQL, Redis, AWS, Bitbucket Pipelines, Grafana, Prometheus, MSSQL, Jest

Brickmate Group Vietnam

2021 - 2023

Spearheaded backend development for a project focused on API services, system architecture, and database design. Implemented effective deployment strategies using Docker and continuous integration tools, and contributed to the AWS infrastructure setup.

Built backend APIs using NestJS, MySQL, Redis, RabbitMQ, and MQTT, and deployed the system using Docker with GitLab CI. Designed the database and researched and architected the system on AWS. Collaborated with the Project Manager to clarify feature requests and ensure alignment with project goals. Managed project timelines, estimated task durations, created and assigned tasks, and conducted code reviews for team members.

Technologies: NestJS, MySQL, Redis, RabbitMQ, MQTT, Docker, GitLab CI, AWS

Appfast No-Code Mobile App Platform

2020 - 2021

Appfast is a no-code platform empowering users to create mobile apps using predefined templates, including news, blogs, social networks, and e-commerce solutions. Backend APIs were developed with Strapi, NestJS, GraphQL, MongoDB, and Elasticsearch, deployed on Google Cloud Platform. Key services like Crawler, Image, and Payment (OnePay, Momo, PayPal, Stripe) were managed within a microservices architecture using NestJS and Kafka. Code quality was ensured through unit tests written in Jest.

Developed a platform that enables users to create their own mobile apps without coding, featuring a wide range of predefined templates such as news, blogs, social networks, and e-commerce. Built backend APIs using Strapi, NestJS, GraphQL, MongoDB, and Elasticsearch, and deployed on Google Cloud Platform (GCS). Main responsibilities included developing and monitoring the Crawler, Image, and Payment services (OnePay, Momo, PayPal, Stripe) using a microservices architecture with NestJS and Kafka. Wrote unit tests with Jest to ensure code quality.

Technologies: Strapi, NestJS, GraphQL, MongoDB, Elasticsearch, Google Cloud Platform, OnePay, Momo, PayPal, Stripe, Kafka, Jest

Chudu24 Back-Office Enhancement

2019 - 2020

Enhanced the back-office system by developing new features using Express.js, MySQL, Elasticsearch, and Redis. Updated system libraries to their latest versions and refactored the codebase to adhere to ES6 standards. Developed a hotel data service to integrate data from international suppliers, utilizing the Levenshtein distance algorithm for precise data matching.

- Developed new features for the back-office system using Express.js, MySQL, Elasticsearch, and Redis. - Updated existing system libraries to the latest versions and refactored the codebase to follow ES6 standards. - Built a hotel data service that integrates data from international suppliers and merges it into the current database using the Levenshtein distance algorithm for accurate data matching.

Technologies: Express.js, MySQL, Elasticsearch, Redis

Kompa - Data Crawling and Monitoring System

2015 - 2019

This project involved developing an automated system for data crawling from multiple channels such as News, Forums, Facebook, YouTube, Instagram, and Google+. The system was capable of handling millions of records per day. Monitoring was initially done using Elasticsearch, Logstash, and Kibana on CentOS, and was later optimized with InfluxDB and Grafana for a lighter version. Alerts were integrated via Slack. The project included deploying and monitoring about 30 dedicated CentOS servers. Collaboration with the data analyst team was crucial for clarifying feature requests and making key decisions on new features. Continuous research and implementation of new technologies were pivotal to enhance the crawler's performance and scalability.

Developed an automated system to crawl data from multiple channels (News, Forums, Facebook, YouTube, Instagram, and Google+), handling millions of records per day. Monitored the crawling system using Elasticsearch, Logstash, and Kibana on CentOS. Implemented a lighter monitoring version with InfluxDB and Grafana, integrating alerts via Slack. Deployed and monitored approximately 30 dedicated CentOS servers. Collaborated with the data analyst team to clarify feature requests and make key decisions on new features. Researched and implemented new technologies to enhance crawler performance and scalability.

Technologies: Elasticsearch, Logstash, Kibana, CentOS, InfluxDB, Grafana, Slack

Project list

Education

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