Fullstack & Data Engineer skilled in Python, SQL, Spark, AWS, Django
Resume:
Bùi Đức Duy
Fullstack Developer
Giới tính: Nam
Số điện thoại: 034*******
Email: **********@*****.***
Website: GitHubhttps://github.com/BuidDucDuy
Địa chỉ: Noi, Viet Nam
MỤC TIÊU NGHỀ NGHIỆP
Data Engineer with 1+ year of experience in Python, SQL, and Apache Spark. Experienced in building data pipelines on Amazon Web Services and Databricks for data ingestion and processing. Seeking to develop scalable data systems and contribute to real- world data-driven projects.
HỌC VẤN
(2020 - 2024) University of Economics – Technology for Industries Information Technology
KINH NGHIỆM LÀM VIỆC
2025/06 - 2025/09 Megazone Cloud VietNam
Intern Data Engineer
Explored and implemented core services of Databricks for building data processing workflows Built simple data pipelines using Apache Spark on Databricks (data batch and streaming data) Developed data pipelines on Amazon Web Services (S3, Lambda, Glue, Personalize,.. ) to collect, process, and store data for project use
Designed and implemented end-to-end data flow: ingestion processing storage Earn the Databricks Associate Level Data Engineer Certification 2025/05 - 2025/06 MCI Joint Stock Company
Backend Intern
Developed an order management system using Django and Django REST Framework. Designed and implemented RESTful APIs to support a React frontend. Wrote unit tests with Pytest to ensure application stability. Col aborated in a team environment, participated in code reviews, and fol owed Git workflow.
2025/06 - 2025/09 GOZIC Joint Stock Company
Ful stack Developer
Participated in the development and deployment of a CRM system to manage customers and business processes. Built a Portal with multiple functional modules, integrating data between backend (Django) and frontend (Angular). Designed APIs, implemented complex backend business logic, and connected it with the Angular frontend. Utilized Docker to package and deploy applications efficiently. Contributed to AI chatbot training, including dialogue data processing and model testing. CHỨNG CHỈ
5/2026 Databricks Certified Data Engineer Associate KỸ NĂNG
Databrick
Cloud Platforms :
Amazon Web Services
Python Programming
SQL Programming
Apache Kafka
Docker
Angular
DỰ ÁN
- Real-Time Data Pipeline using Lambda Architecture on AWS & Databricks Designed and implemented a data pipeline following Lambda Architecture (batch & streaming layers) Built data ingestion using Amazon Web Services (S3 for batch, Lambda for streaming processing) Processed data using Apache Spark on Databricks, handling both real-time and batch workloads Stored processed data in data lake (S3/Delta Lake) for analytics and querying Implemented checkpointing and fault-tolerance mechanisms to ensure reliable data processing
- Sprout-like Web Application
Key Features: User Registration/Login: User-friendly authentication interface with OTP verification via email/SMS. Profile & Account Management: Update personal information, bank details, and addresses. Money Transfer Transactions: Select recipients, countries, and transfer amounts; real-time currency and service fee calculations. Transaction History: Display completed and ongoing transactions with status tracking (processing, completed, failed, etc.). Recipient Management: Save recipient list for easy reuse with search and filter functionality. Notifications: Send updates on transactions, promotions, and alerts.
- E-Commerce Website (2024)
Online store with clearly categorized products and detailed product information (images, names, prices). Automatic product categorization and admin management (add, edit, delete products) via Django admin. Product search and category-based browsing functionality.
- E-Commerce
highlighting featured and new products. Implemented product listing and detail pages, along with company policy pages, a shopping cart, and a checkout process. Built a news section to display and manage detailed articles. Designed and integrated admin functionalities including product management, news management, order management, and feedback management. Utilized Django, Angular, Docker, and Keycloak for secure authentication, scalability, and seamless deployment.
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