About Me
I am a data engineer with hands-on experience building production-ready ETL and real-time data processing pipelines.
I work with large-scale data integration, transforming data from sources such as Kafka, S3, SFTP, JDBC, APIs, and log streams into reliable analytics-ready assets.
My background includes strong experience in PySpark, SQL, data modeling, and workflow automation, along with practical use of cloud and containerized environments.
I have also worked on ML-oriented data workflows, anomaly detection, and automated data health monitoring to improve data quality and operational reliability.
I enjoy collaborating with stakeholders to translate business needs into technical solutions and to optimize systems for performance and maintainability.
I am open to opportunities where I can contribute to data engineering, analytics platforms, and scalable data infrastructure.
Skills
PythonSQLData AnalysisStakeholder ManagementMachine LearningData VisualizationData ModelingData EngineeringETLData StructuresData WarehousingIncident ManagementPredictive AnalyticsObject Oriented ProgrammingAlgorithmsWorkflow AutomationPysparkClassificationDataBase SystemsClusteringAnomaly DetectionQuery OptimizationOLAPBig Data Analytics
Tech Stack & Tools
Analytics
Application Hosting
Languages & Frameworks
Monitoring
Experience
Developed production-ready ETL pipelines using PySpark to integrate large volumes of data from sources such as S3, Kafka, SFTP, JDBC, and APIs into high-quality data assets. Designed ML workflows for clustering and classification, optimized Spark jobs, built data health monitoring, and supported incident management for data delivery failures.
Designed and implemented a real-time log processing pipeline using syslog-ng, Kafka, PySpark, and MongoDB. Built an anomaly detection workflow for network logs using Wazuh, n8n, and integrated LLMs for context-aware analysis.
Customized Backtrader for Vietnamese market regulations, developed Python-based data ingestion using APIs, BeautifulSoup, and Selenium, stored data in MongoDB, and built a FastAPI microservice with a real-time signal execution engine using Redis caching.
Education
Bachelor of Science, Data Science
GPA: 8.68/10. Relevant coursework included Machine Learning, Big Data Analytics, Data Analysis and Visualization, Data Warehousing and OLAP, Database Systems, Object-Oriented Programming, and Data Structures and Algorithms.
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