Trọng Minh
Data Engineer
Nhân tài
Ho Chi Minh CityThành viên từ 7 tháng 5, 2026
SQLPythonCDCdbtApache IcebergS3GlueSQSEventBridgeStep FunctionsDockerspark
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SQLPythonCDCdbtApache Iceberg
Giới thiệu
Data Engineer with 2 years of experience building data products on AWS lakehouse for banking and analytics use cases. Focus on delivering reliable, business-ready datasets used by analysts and stakeholders for decision-making. Proven track record in improving data quality, reducing pipeline development time, and enabling self-service analytics through metadata-driven and scalable data modeling approaches.
Kinh nghiệm
Data Engineer at FSS - Financial Software Solutions (2025-01 – Present)
- Developed and maintained data transformation logic for banking reporting datasets, supporting several business reports used by analysts and internal stakeholders.
- Contributed to performing end-to-end report-to-source analysis, mapping over 2,000 data fields across multiple source systems to ensure consistency between raw data and BI outputs.
- Rebuilt a metadata-driven dbt job generation framework, reducing manual pipeline development time by ~30–40% and standardizing transformation logic across projects.
- Designed and implemented CDC/SCD models (Type 1/2/4a) for key business entities (customers, accounts), enabling reliable historical tracking and time-based analytics.
- Collaborated with analysts to refine data models for usability, reducing ad-hoc query complexity and improving query performance by ~20–30%.
- Implemented data quality checks (null rate, duplication, freshness) within dbt pipelines, proactively detecting anomalies and resolving issues at transformation or ingestion layers.
Data Engineer at AWS - Amazon Web Services Vietnam (2024-06 – 2025-12)
- Built a serverless data lakehouse on AWS using S3, Apache Iceberg, AWS Glue, EventBridge, SQS, and Step Functions.
- Developed a Python-based CDC framework on AWS Glue to standardize data writing and CDC handling through configurable job parameters.
- Designed event-driven orchestration for data workflows using EventBridge, SQS, and Step Functions.
- Created QuickSight reports on curated NYC datasets to demonstrate end-to-end analytical consumption from the lakehouse.
- Completed hands-on training on AWS data services and cloud fundamentals, including S3, Glue, IAM, and networking.
Học vấn
Data Engineering – Ho Chi Minh City University of Technology and Education
Kỹ năng
Data Engineer
