Aviation Project – France
Data Engineer, March 2021 – Current
Project description
- Working on a team of 10 members including 1 Scrum Master, 1 Team Leader, 8 Data Engineers
- This project is about delivering a system that decodes and analyzes aircraft sensor data, providing real-time insights to ground control and maintenance teams to optimize operations and enhance safety. It involves managing the full data pipeline from ingesting raw flight data, decoding it into clean, structured formats, and delivering it to clients while ensuring the processing system's stability, performance, and maintainability.
Responsibilities
- Extract raw data from AWS S3 buckets, decode, transform, and load it into analysis tools to enable comprehensive data processing and insights.
- Designed interactive Power BI dashboards and data models to visualize complex data insights for stakeholders.
- Design, implement, and manage customized data pipelines optimized for the airline industry, ensuring reliable data flow, leveraging AWS Glue for ETL orchestration and AWS Redshift for efficient data storage and querying.
- Manage the creation and deployment of new functions and perform detailed testing and validation to guarantee high-quality outcomes.
- Plan and conduct frequent meetings with Product Owners and customers to discuss issues, get input, and promote new pipeline improvements.
- Proactive communication to quickly address complaints, fix problems, improve pipeline performance, keep lines of communication open.
- Actively identified risks and blockers and developed mitigation plans to keep progress on track.
- Manage and complete thorough data migration procedures for airlines, guaranteeing smooth changes with less disruption to operations as usual.
- Collaborated with other teams to integrate new aircraft data sources, enhancing the system’s ability to deliver real- time operational insights across multiple airline fleets.
- Implemented monitoring and alerting systems for data pipeline health using custom scripts and cloud-native tools, ensuring high availability and minimizing downtime.
- Developed automated validation scripts to ensure data integrity after each pipeline deployment, reducing manual checks and increasing delivery confidence.
Technologies
- Custom scripts: Python, Java.
- Cloud-native tools including AWS CloudWatch for monitoring and alerting.
- Data models: designed in Power BI or within Redshift.
- ETL/ELT processes: implemented using Glue and possibly SQL.
Fintech Project – Vietnam
Data Engineer, October 2024 – July 2025
Project description
- Working on a team of 12 members including 1 Scrum Master, 1 Team Leader, 6 Data Engineers, 4 Data Analysts
- A fintech initiative focused on building a scalable digital lending platform for retail and SME customers. The project aimed to streamline KYC, credit scoring, and loan disbursement through data-driven automation, ensuring compliance with financial regulations and enhancing customer experience.
Responsibilities
- Developed and maintained robust ETL pipelines to process KYC, transaction history, and credit bureau data, ensuring clean and timely data flow across multiple financial systems, leveraging AWS S3 for secure raw data storage and retrieval.
- Collaborated with product owners, credit risk analysts, and compliance teams to gather requirements and implement solutions aligned with financial policies and business objectives.
- Engineered data models and built curated datasets to support credit scoring, fraud detection, and customer segmentation.
- Performed ad hoc and scheduled analyses using SQL and BI tools (e.g., Power BI), delivering insights for lending strategy optimization.
- Tuned Spark jobs and batch processes to reduce processing time and costs, supporting near real-time decision-making for loan approvals, with event-driven triggers managed through AWS Lambda for specific data processing tasks.
- Participated in data governance initiatives, ensuring data privacy and security standards (e.g., GDPR, local regulations) were consistently met.
Technologies
- ETL pipelines, Data modeling, Data governance frameworks
Banking Data Integration – Australia
Data Engineer, August 2023 – June 2024
Project description
- Working on a team of 8 members including 1 Scrum Master, 1 Team Leader, 2 Data Engineer, 4 Data Analyst
- An enterprise-level banking project aimed at centralizing customer data from multiple legacy systems into a unified data lake. The goal was to improve data accessibility, enable regulatory reporting, and enhance customer 360° insights across retail and corporate banking units.
Responsibilities
- Built ETL pipelines to integrate data from core banking, loan, and CRM systems into a centralized data lake.
- Ensured data compliance with Basel III, FATCA, and local banking regulations.
- Created curated datasets for transaction monitoring and customer analytics.
- Developed Power BI reports to support business decisions. Optimized SQL queries and Spark jobs for faster performance and lower costs.
- Investigated data issues and ensured end-to-end data accuracy.
Technologies
- Data governance & compliance frameworks
Internal Project – Vietnam
Data Engineer, August 2023 – December 2023
Project description
- Working on a team of 20 members including 12 Data Engineers, 8 Data Analysts
- A project designed to provide immediate support for high-priority projects, deploying skilled team members to resolve critical issues and stabilize operations.
Responsibilities
- Designed, implemented, and optimized end-to-end ETL processes to handle high-priority datasets, ensuring accurate and timely data delivery.
- Worked closely with stakeholders, including product managers, data scientists, and business analysts, to understand requirements and deliver solutions aligned with project goals.
- Actively identified bottlenecks, debugged code, and implemented quick fixes in real-time to restore system stability and meet urgent deadlines.
- Conducted performance tuning on Spark jobs and SQL queries to enhance processing speed, reduce costs, and improve resource utilization.
- Regularly reviewed systems to identify areas for improvement, proposed enhancements, and implemented changes to increase system scalability.
Technologies
- Depending on the project I’m assigned to, the technologies I typically work with include:
- AWS S3, Lambda, Redshift, Azure, GCP
- ETL pipelines, Data modeling, Data governance frameworks
F&B – Vietnam
Java Developer, October 2020 – March 2021
Project description
- Working on a team of 15 members, including 1 Solution Architect, 10 Developers, 2 QA, 1 Product Owner, and 1 Scrum Master.
- A startup company is developing an application to manage various aspects of the Food and Beverage (F&B) sector, including ordering food, personal management, inventory control, salary management, and more
Responsibilities
- Use stored procedures to create adaptable functions smoothly integrated into the Java backend for various system applications.
- Manage the introduction of new features to enhance system functionality and drive continuous improvement.
- Work closely with the front-end team to design an optimized application, ensuring smooth integration of the backend with frontend requirements.
- Create documentation of development processes and create clear guides to help users understand the application.
- Continuously track application performance, identify issues, and work with the team to implement fixes, ensuring smooth and reliable operation
Technologies
