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Trọng Minh

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

Đánh giá

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