Data Engineer Azure Cloud

TRAN QUANG

VINH

DATA ENGINEER

I hold a Software Engineering degree from BTEC FPT College and

specialize in Data Engineering. With expertise in SQL, Python, Spark, and cloud platforms (Azure, AWS), I design scalable data pipelines that transform complex data into actionable insights, driving business growth and efficiency.

CAREER OBJECTIVE

As an aspiring Data Engineer with

strong foundations in cloud and data

systems, I aim to help build scalable

pipelines, optimize workflows, and

deliver business insights. I am

passionate about solving real-world

data challenges and continuously

growing through technologies like

Spark, Kafka, Azure, and AWS.

CONTACT

• **************@*****.***

• +84-961******

• Binh Thanh District, HCMC.

EDUCATION

BTEC FPT College

Degree: Software Engineer

Awarded: August 2024

TOEIC: 750

SKILLS

• Python Language, SQL Query

• Apache Spark (DataBricks in

Cloud) for Transformation

• Cloud Knowledge: AWS, Azure

• Extra: Hadoop, Kafka, Docker

EXPERIENCE

STOCK MARKET ELT PIPELINE PROJECT

(Aug – Sep 2024)

Source: GitHub, Document

Description:

• Designed and implemented a full-scale ELT data pipeline to integrate financial and stock market data from Sec- api.io, Alpha Vantage, and Polygon into a centralized data warehouse.

• Analyzed API structures, defined ingestion strategies, and evaluated data latency and transformation requirements.

• Designed relational and dimensional data models (Galaxy Schema) to support analytical reporting.

• Built modular Airflow DAGs for orchestration, automated ingestion, transformation, and loading routines.

• Created technical documentation including data

lineage, architecture diagrams, and process flows. KAFKA SPARK STREAMING MODELING

Source: GitHub, Document

Description:

• Built a real-time streaming pipeline using Kafka, Spark, MinIO, and PostgreSQL for sentiment data analytics.

• Designed real-time data schema and Spark validation layers to ensure data quality and consistency.

• Developed Dockerized architecture integrating Airflow for orchestration and automated stream processing.

• Implemented monitoring logic with Prometheus &

Grafana for system observability.

• Authored comprehensive technical documentation and enabled REST API access via FastAPI.

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