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Resume


Tran Cong Quang

Data Engineer

📍 Ho Chi Minh City, Vietnam |📧 trancongquang2002@gmail.com |📞 +84 348351526

Professional Summary

Data solutions developer with over 2 years of experience in establishing, optimizing, and mining data across multiple domains. Passionate about workflow automation, CI/CD, and AI integration.

Work Experience

Operating Transformation & Analysis Developer @ Unilever

Feb 2025 - Present

Monitor, audit, and structure the MT FMCG Data Lake, ensuring data accuracy and ease of retrieval. Develop dashboards integrated with AI Agent MCP for fast ad-hoc analysis. Build the 'Generate Visit Plan' web application to optimize routes and schedule allocation for the Field Force.

DatabricksAzure BlobSupersetPower BIPower AutomateGoogle Maps API

Data Engineer @ National Cyber Security Association (NCA)

July 2024 - Feb 2025

Responsible for scheduled batch data integration, discovering hidden relationships between sources to ingest into a high-performance search and relationship system. Deploy and monitor microservices. Conduct large-scale data collection bypassing advanced anti-bot mechanisms.

SparkKafkaElasticsearchClickHouseK8sPlaywrightAnsible

Intern Full Stack Developer @ Smartlog

March 2024 - July 2024

Contribute new UI features to the Logistics application and build a Web Data Portal to manage operational data from internal systems. Design and develop dashboards with real-time dynamic charts running on database replicas.

NextJSAngularPostgreSQLSupersetAmchartsLooker

Featured Projects

Antigravity Agent Add-on

Build the 'Run In User Terminal' (riut) utility allowing AI agents to automatically execute and interact directly with pre-configured terminal sessions. Set up hotkeys and custom workspace skills to optimize workflows.

PythonBashGitlab CI

MCP Tools (Superset & PBI)

Develop CLI tools to manage chart/query definitions directly via scripts; provide a semantic model querying mechanism to extract compact schemas for AI-assisted dashboard development and convert dashboard charts to DAX queries.

PythonCLIDAXSuperset API

Parallel Seam Carving

Optimize and implement a smart image resizing algorithm (Seam Carving) using high-speed parallel processing on GPUs with CUDA C/C++ for real-time image processing applications.

CUDA CC++GPU Parallelization

E2E ELT Data Pipeline

Set up an E2E ELT pipeline for large-scale Open Data using a Spark cluster and Delta Lake storage on S3 MinIO. Automate orchestration via Dagster, ingest into PostgreSQL, and visualize on a self-built dashboard.

SparkDelta LakeDagsterMinIODockerNestJS

Technical Skills

Programming Languages

Python, Scala, R (Familiar), C/C++ (Familiar), CUDA (Familiar)

Databases

PostgreSQL, ClickHouse, ElasticSearch, Delta Lake (Familiar), AWS S3 (Familiar), MongoDB (Familiar)

Data Processing & Orchestration

Apache Spark, Databricks, Dagster, Prefect, Airflow (Familiar), Kafka (Familiar), dbt (Familiar)

Visualization & Web

Apache Superset, Power BI / Dataflow, NodeJS / NestJS, Angular / HTML / CSS / JS, Express (Familiar), Looker (Familiar)

Education

University of Science - VNU-HCM

2020 - 2024

Bachelor of Science in Data Science

GPA: 3.3 / 4.0

Published Paper: ViFam: A New Dataset for Fall Detection Problem and Overall Analysis

Authors: Thao V. HA, Quynh T. N. NGUYEN, Dung V. HUYNH, ... Quang C. TRAN, ... Binh T. NGUYEN

Conference: SOMET 2024 Conference | Frontiers in Artificial Intelligence and Applications, Vol. 391 | IOS Press

View Publication 🔗

Certifications

  • SQL (Advanced) Certificate — HackerRank
  • IBM Data Warehouse Engineer Certificate — Coursera
  • Google Data Analytics Professional Certificate — Coursera

Notes & Reviews