Banking Project – Germany
Senior Data Engineer, Jan 2026 – Present
Project description
- Working on a team of 10 members to modernize data infrastructure and improve scalability.
- Migrating on-premises ETL systems to cloud-based architecture using Azure and Databricks.
- Building scalable data foundations to support AI/ML workloads and data-driven banking applications.
Responsibilities
- Develop and maintain ETL/ELT pipelines using Databricks and Azure services.
- Design data ingestion frameworks for structured and semi-structured data.
- Built data pipelines to prepare, transform, and deliver high-quality datasets for machine learning workflows.
- Collaborate with stakeholders to understand data requirements and system design.
- Monitor, troubleshoot, and optimize data workflows.
- Collaborated with data science teams to support data preparation and integration for ML model training and inference.
Technologies
- ML-ready Data Pipelines, Machine Learning Data Preparation, Model Training & Inference Data Integration
Digital e-wallet Payment - Singapore
Senior Data Analyst, March 2023 – Dec 2025
Project description
- Working on a team of 5 members.
- Automated manual processes.
- Handled ad-hoc requests from stakeholders.
- Collaborated with partners to perform data governance on Data Lake
- Improved performance and optimized existing functions, reports, and dashboards.
- Implemented data lakehouse on S3.
Responsibilities
- Working with stakeholders to identify needs and key metrics to build reports and dashboards on PowerBI. Also handled ad-hoc requests from both internal and external stakeholders.
- Designed a streaming data pipeline and implemented it on AWS cloud.
- Collaborating with partners and BOD on a weekly basis to perform data governance on S3 Data Lake.
- Investigated and resolved data quality issues.
- Monitoring and validating data quality.
- Lead the BI team to deliver requests on time and with high quality.
- Collaborated with DevOps to develop and deploy necessary services on cloud platform (AWS) for the new data platform.
- Assist team members in migrating existing dashboard from Tableau to PowerBI.
- Designed a new template for PowerBI dashboard.
Technologies
- Workflow management: Airflow
- Databases: Postgres, MySQL, Oracle
- Data lakehouse: Iceberg, AWS Glue
- Streaming platform & CDC: Kafka, AWS DMS
- Visualization: PowerBI, Tableau
Real Estate Holdings– United States
Data Consultant - Analyst and Engineer, June 2022 – December 2022
Project description
- Lead a team of 4+ people working on a wide range of scopes: PowerBI/ Apps / Automate, Custom Dashboarding, Data Warehouses, ETL/ELT pipelines
- Advised and suggested solutions; also delivered and translated stakeholders needs into technical solutions for team members
Responsibilities
- Worked with different departments to understand their problems and design a suitable data platform. Identify business needs and key metrics to create appropriate reports and dashboards on PowerBI
- Handled communication between business units and teammates, transferred business requirements to technical specifications
- Get feedback to improve products and assist teammates in delivering the products on time with high quality.
- Designed a suitable data platform on Azure Cloud.
- Investigated & resolved data quality issues along with improving PowerBI dashboard performance
- Monitored and maintained the data system.
Technologies
- Visualization tools: PowerBI
SME Business – Vietnam
Data Analytics Consultant, May 2022 – June 2023
Project description
- Work in a team of 4+ people.
- Advised on transitioning from Excel to scalable data architecture on AWS platform and business intelligence tools.
- Designed and built ETL pipelines on cloud services to migrate data from production database and ERP database to data lake and data warehouse
Responsibilities
- Worked with different departments to collect key metrics and migrate existing Excel reports to PowerBI.
- Designed data architecture on AWS Cloud
- Created ETL pipelines and alert functions to monitor the platform.
- Investigated and resolved data quality issues.
- Conducted training sessions for different departments on how to maintain and utilize the data platform and business intelligence tools.
- Collaborated with DevOps to setup and deploy services on AWS Cloud.
Technologies
- Visualization tools: PowerBI
Banking - VietNam
Data Engineer, April 2022 – July 2023
Responsibilities
- Managed data warehouse, including monitoring, and maintaining pipelines and flow triggers for existing ETL jobs
- Optimized ETL or ELT jobs and assisted other departments to fix errors or develop new features. Evaluated, determined root causes, and resolved production issues.
- Build new ETL pipelines with different ETL tools
- Work with different departments to adjust the extract method, transform and load data. Support other departments to give appropriate solutions to deliver coordinated software solutions
Technologies
- Workflow management: IBM Datastage
- Streaming Tools: Oracle Golden Gate
Real Estate Company – United States
Data Engineer, April 2021 – March 2022
Responsibilities
- Optimized SQL queries to achieve shortest data extraction, created SP, triggered for data validation, and ensured data availability.
- Automated manual work to achieve high efficiency, such as data reconciliation and data availability alerts to users.
- Created ETL pipelines to extract data from multiple sources into one central data warehouse.
Technologies
- Workflow management: Azure Data Factory
- Data warehouse: Azure Synapse
