Dang Tran

MODECApr 2025 – Present

• Lead a 5-person team across two projects (Bing, Nemo Catalog), both coding and planning the team's work
• Made key technical decisions on architecture, infrastructure, and data pipeline design
• Worked with stakeholders to define requirements, plan sprints, and deliver on time

Python, FastAPI, PostgreSQL, MySQL, Redis, Terraform, Azure (AKS, Container Apps, AI Search, Blob Storage, Entra ID, App Configuration, Static Web Apps)

Employment HeroSep 2021 – Mar 2025

• Researched technical options for new projects and recommended the best approach
• Worked with Product Owners to clarify and prioritize requirements
• Led project planning and estimation, delivering on time across many releases
• Fixed N+1 query problems on critical endpoints, cutting the number of database queries per request

Ruby on Rails, React, PostgreSQL, Redis, AWS, Sidekiq, Kafka, gRPC

East AgileJan 2020 – Sep 2021

• Worked directly with clients to gather requirements and deliver software that fit their needs
• Owned projects from requirements through development and deployment
• Built features end to end, across backend and frontend
• Managed deployments on AWS S3 with a reliable, repeatable process

Node.js, AWS, PostgreSQL, React

FastAPI | MySQL | Azure AI Search | AKS | Terraform

• Internal document search platform: collects records and documents from many databases and blob storage, and makes them searchable with Azure AI Search
• Led delivery for a 5-person team while working directly on infrastructure and pipelines
• Split a shared dev/prod setup into three separate environments (dev, UAT, prod) using Terraform
• Made data pipelines 4–8x faster by running them in parallel; they sync tens of thousands of records and documents every day
• Removed unused resources and resized the rest, reducing monthly cloud costs by 64%
• Reduced file load time by 80%

FastAPI | PostgreSQL | Azure Container Apps | Data Pipeline

• Internal data catalog used by thousands of employees to search datasets and request access
• Built the application from the ground up, cutting the time to find and request data from minutes to seconds
• Designed and built a data pipeline that syncs datasets from multiple databases and blob storage accounts
• Led development end to end, from gathering requirements to deployment

Ruby | State Machines | Event Processing | Lazy Computation

• Led development of a Ruby gem that calculates Canadian payroll in line with local regulations
• Designed a test helper that made tests faster to write and easier to read and maintain
• Used state machines, event-based processing, and lazy computation to improve performance

Rails | React | PostgreSQL | Migration Strategy

• Moved the entire Performance Review module (review templates, review cycles, completing and submitting reviews) from the legacy stack to the modern stack
• Reviewed all business logic, including undocumented rules, to build a complete migration plan
• Planned the migration with timelines and data converters so existing data keeps working
• Fixed long-standing bugs and made the feature more stable after migration
• Reduced storage usage by 30% by cleaning up and removing duplicate data
• Managed the rollout, tracked defects, and delivered improvements after migration

Node.js | AWS | PostgreSQL | QR Code Integration

• Built a gallery-sharing app with image upload, management, and sharing by QR code, using AWS for storage and deployment

Ho Chi Minh City University of Technology (HCMUT)2017 – 2021

GPA: 8.23/10.0 (Very Good)

Bach Khoa Algorithm Club (HCMUT) and TEKO — competed in 3 rounds of algorithmic and computer science challenges