Vo Duy Thien (Alex)
Improving incrementally each day, consistently getting faster.
About Me
With over a decade of experience in the IT industry, I am a dynamic and versatile professional specializing in Data Engineering, Software Development, and DevOps. I have successfully contributed to large-scale projects involving the design of complex data systems, development of customized software applications, and optimization of cloud-native DevOps workflows. As a Data Engineer, I have built and maintained enterprise-scale data warehouses using platforms such as Hadoop, Spark, and SQL. I leverage tools like Python and R to perform deep data analysis and build predictive models that drive strategic decisions. I also have experience integrating cloud-based data pipelines using Google Cloud (BigQuery, GCS) and AWS (S3, Lambda, EC2). As a Software Developer, I am proficient in C#, Python, and JavaScript. I have developed both web and mobile applications from concept to production, always focusing on performance, scalability, and security. My work often involves integrating APIs and deploying microservices that serve thousands of users seamlessly. In the DevOps space, I have managed development and production environments, designing CI/CD pipelines using tools such as Azure DevOps, GitLab CI/CD, Docker, and Kubernetes. I also have experience with Google Cloud Platform, Amazon Web Services (AWS), and Apigee for API management and gateway configuration in production-ready environments. Additionally, I configure Cloudflare for reverse proxy, DDoS protection, and performance optimization. One of my most notable achievements includes building a full-stack system for a gaming and finance enterprise. This solution featured a C# backend for admin tools, Go for infrastructure monitoring, and Python for ETL processing and data integration. The frontend was built with React Native, while the CI/CD pipeline was powered by Azure DevOps and Docker, deployed in a containerized environment. I am passionate about continuous improvement, strong in problem-solving, and highly collaborative. I enjoy learning emerging technologies and take pride in delivering clean, reliable, and efficient solutions. With a proven track record and broad technical expertise, I am confident in my ability to drive value for any organization I join.
Skills
C#, Java, Go, Python, PHP
95%
SQL Query
90%
Webcrawler
90%
Data handling
85%
Data Processing
90%
Data Analysis
80%
DevOps
95%
Python AI control processing
70%
Expericence
Website developer
Nashtech Vietnam (England) | 05-2013 - 03-2016
Civica (England): Civica is a property management project based in the UK. The project allows users to search for properties and estimate their values.
MediaBrain (Singapore): MediaBrain is an advertising spot management project based in Singapore. The project enables clients to book advertisements, schedule display times, and calculate costs based on their advertisements. Additionally, the project calculates taxes, costs, and profits.
Website and Application Developer
DSI Solution (USA) | 04-2016 - 08-2017
DSI Solution : DSI Solution is a company specializing in software development for tracking trucks and agricultural vehicles. The software manages sensors and monitors vehicle performance, checks routes, schedules tasks, and optimizes operations to be as efficient as possible, saving fuel and effort.
Website and Application Developer
Smartera (Vietnam) | 08-2017 - 05-2018
Smartera was the first company I started up in the field of website design. Here, along with my team, we designed and launched over 60 websites across various sectors in Vietnam.
Data Analysis
Accenture (Malaysia) | 05-2018 - 06-2019
At Accenture Malaysia, my job was to collect, organize, and classify data for input into databases for AI training, ensuring data integrity.
Smartera - Former
Vietnam| 07-2016 - 07-2018
Smart Era was the first company I started up. Here, along with my team, we designed and launched over 60 websites across various sectors in Vietnam.
Data Extractor
Accenture (Philippines) | 07-2019 - 06-2020
At Accenture Philippines, my job was managed the ETL data processing, data cleansing using Python, and data pipeline automation.
Data Engineer (Philippines)
CyberGrowth| 07-2020 - 08-2022
At CyberGrowth, my job was to write MYSQL scripts and Elastic query to extract data from the data warehouse. I successfully delivered over 200 queries daily for clients. Additionally, I developed a platform using Golang for developers to debug SQL queries, and a platform using Python that allows clients to run their own queries and pass parameters. I also developed a convolutional neural network (CNN) using TensorFlow to classify images of handwritten digits with an accuracy of over 98% on the MNIST dataset.
Senior Engineer (Malaysia)
KT Solution| 07-2022 - 07-2023
At KT Solutions, I independently designed a gaming platform that integrated game systems, payment processing, data handling, job management, database management, and a DevOps system that auto-deploys with new code. I used C# for the management system, Go for the monitoring system, and SQL Server for SQL storage. I also utilized Traefik for reverse proxy, Docker, and Azure Pipeline for the DevOps system. The system continuously checks and corrects data errors and generates reports for relevant departments. Additionally, I wrote Python Selenium scripts to scrape data, making it easier for the SEO team to post articles. I also researched and integrated a Telegram bot that automatically reports job completions. I also worked with Google Cloud Platform to deploy scalable backend services, utilized Apigee for API management, and configured Cloudflare for reverse proxy, caching, and DNS security to improve performance and resilience.
Senior Engineer (Philippines)
Marketrole Asia| 08-2023 - 08-2024
At this company, I was responsible for creating and managing jobs on Apache Airflow to automate data pipelines, ensuring smooth data processing and workflow orchestration. To maintain system efficiency, I actively monitored data flow and performance using Grafana, promptly identifying and resolving potential issues. Additionally, I modified Spark jobs to insert data into TiDB, optimizing data storage and retrieval processes. My role also involved querying and analyzing data from TiDB and Elasticsearch, merging and processing datasets to ensure consistency and accuracy. Furthermore, I played a key role in delivering daily data reports to both customers and the Data Analysis team, providing valuable insights to support data-driven decision-making. I also implemented data pipelines using Google Cloud services (e.g., Cloud Storage, BigQuery). I managed Cloudflare configurations to enhance security and optimize data delivery.
AI Study Buddy Project
Personal Project| 08-2024 - Current
AI Study Buddy: An intelligent learning assistant platform leveraging AI technology to enhance student learning experiences. The project demonstrates extensive backend development expertise using Python ecosystem and modern deployment practices.
Technical Expertise & Achievements:
• Backend Development: Extensive experience developing robust backend systems using Python, with deep proficiency in FastAPI framework for building high-performance API services
• Database & ORM: Advanced skills in SQLAlchemy for database modeling, migrations, and complex query optimization, ensuring efficient data management
• API Design: Expert-level knowledge in designing and implementing RESTful APIs, following best practices for scalability, security, and maintainability
• AI Integration: Hands-on experience integrating AI services through OpenAI and Google Gemini API, building intelligent features and conversational interfaces
• Data Validation: Proficient use of Pydantic for robust data modeling, validation, and serialization, ensuring data integrity across the application
• Quality Assurance: Strong foundation in writing comprehensive unit tests, implementing TDD practices, and maintaining high code coverage for reliable software delivery
• Version Control: Advanced Git workflow management, including branching strategies, code reviews, and collaborative development practices
• Containerization: Expert-level Docker implementation for consistent development and deployment environments, including multi-stage builds and optimization
• Cloud & DevOps: Extensive experience with cloud server management, implementing CI/CD pipelines using Git workflows, automated testing, and deployment strategies
• Performance & Security: Advanced knowledge in building scalable, high-load applications with caching strategies (Redis, Memcached), security best practices, and VPS management for production environments
Contact Me
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