Edward Nguyen Email & Phone Number

Melbourne, VIC, AU

Melbourne, Victoria, Australia

• Collaborated with multiple clients across banking, construction, and marketing sectors, leading to the successful deployment of more than 5 data‑driven solutions that enhanced business operations and analytics.
• Designed, developed, and maintained 10+ data pipelines using both AWS serverless services including Lambda, SQS, SNS, and CloudWatch and Container deployment by docker and ECR, achieving a 30% increase in data.
• Developed and managed data architectures within Snowflake, supporting over 50 TB of data and enabling scalable, high‑performance analytics that improved decision‑making processes across multiple departments.
• Automated infrastructure deployment using CDK( cloudformation) or Terraform, reducing deployment times by 80% and improving overall operational efficiency for cloud resources.
• Implemented CI/CD pipelines by AWS CodePipeline or Azure Devops to automate testing, deployment, and monitoring, reducing manual intervention by 50% and ensuring consistent and reliable deployments.
• Designed and developed logical and physical data models in Snowflake such as star schema(kimball) or Data vault that handled from million to billion records, ensuring data integrity and providing scalable solutions for.

Sydney, New South Wales, Australia

• Implemented the design of data warehouse schema and automated ELT/ ELT pipelines using Python (Apache Airflow) including orchestration and loading data to Snowflake from data lake S3, achieving a high time saving.
• Utilized DBT CLI to transform data to meet up business requirement and data integrity using SQL, Jinja template and Macro, obtaining time saving in creating document, designing schema and data models.
• Optimized SQL queries and built algorithms and data models from Snowflake by implementing checking cluster and rebuilding micro partition, troubleshooting ad‑hoc query and technical issues and delivering a 20%.
• Implemented cloud infrastructure as code by Docker and Terraform for data ecosystem on Azure and AWS, ensuring optimal uptime and support for best practices and multiple commercial applications.
• Implementing end to end real time streaming data capable of handling scalability of data daily by using S3, EventBridge, Kenisis and Snowpipe enabling real‑time analytics and restful API for SaaS( Software as a.
• Established CI/CD workflows with Github Action and maintaining version control for source code, streamlining deployments and enhancing collaboration on commercial projects.

Melbourne, Victoria, Australia

• Implemented Apache Airflow through Cloud Composer to orchestrate and optimize ETL workflows, achieving a time manual saving improvement in automated data processing efficiency within Spark and Hadoop ecosystems.
• Utilized Dbt for data transformation within BigQuery, leading to enhanced query performance, supporting documentation and facilitating advanced data analytics, business intelligence and scalable applications like using.
• Strengthened data security by configuring IAM roles and implementing encryption with Cloud KMS, exceeding compliance and safeguarding sensitive information.
• Automated cloud infrastructure provisioning using Terraform, complemented by CI/CD pipelines and version control in Github Action for efficient deployment cycles.
• Developed real‑time data streaming solutions with Cloud Pub/Sub, improving data availability and supporting prompt analytical insights.

Melbourne, Victoria, Australia

• Acquiring and ingesting data from AWS S3 or AWS Redshift, setting the foundation for efficient Power BI analytics in key commercial accounts.
• Using Python to cleanse data, achieving a 99.9% accuracy rate in business‑critical Power BI dashboards.
• Collaborating to design timely Power BI reports, exceeding stakeholder expectations and democratizing data across the organization.
• Automating data processing with Pandas, enhancing productivity by 30% and enabling real‑time Power BI insights.
• Implementing automated triggers for Power BI, reducing manual intervention by 80% and contributing to a 20% growth in data‑driven decision‑making.

Hanoi, Hanoi, Vietnam

• Leading cross‑functional teams to optimize e‑invoice systems for major banks and SMEs, achieving a 20% increase in overall system efficiencythrough data‑driven insights.
• Mastering SQL and Excel to conduct advanced data analytics, informing real‑time decision‑making and actionable business strategies.
• Pioneering innovative process improvements using A/B tests and predictive models, resulting in a 15% reduction in operational risks.
• Excelling in data storytelling by synthesizing complex metrics into compelling presentations that have influenced key business decisions forhigh‑value clients.

Vietnam

Master'S Degree, Data Science

Bachelor Of Arts - Ba, Banking And Financial Support Services