Phuong Tran

Tech Stack: Kafka, Debezium, Airflow, dbt, Pub/Sub, Data Modelling, Bigquery.

• Led the proof of concept (POC) for CDC streaming ingestion from legacy OLTP MySQL and Oracle databases.
• Designed and implemented in-house high-level declarative pipelines, reducing development time by 70%.
• Own and maintain critical ELT pipelines supporting multiple business domains.
• Onboarded the team to dbt, driving adoption of best practices.
• Spearheaded the migration of 4000+ lines of legacy stored procedures to dbt models for a critical finance process.

Tech Stack: Airflow, dbt, Pub/Sub, Data Modelling, Bigquery, Kubernetes.

• Designed and implemented a webhook infrastructure to enable real-time data ingestion from third-party APIs.
• Developed and optimized semantic data layers to empower data analysts and business stakeholders with structured insights.
• Built a near real-time dashboard solution leveraging event-driven data for timely decision-making.
• Automated manual workflows for performance marketing teams with Supermetrics data, boosting productivity by 70%.

Tech Stack: Cloud Run, Bigquery, dbt, Lookerstudio, Scoping, Collaboration.

• Owned production‑level ETL/ELT pipelines from various data sources including on‑premise servers and API calls.
• Led the improvement of data observability for existing and new pipelines with dbt and re‑data.
• Worked with clients to understand business needs and translate those needs to actionable reports in LookerStudio.
• Led the migration of legacy SQL data modellings to dbt.
• Owned ML model‑serving application built on AppEngine and CloudRun to predict disease risk from 70k+ medical records.

Tech Stack: Python, R, Multivariate Statistical analysis.

• The research focuses on analysing quantitative genomic sequences data to identify and predict corrosion-specific gene expressions on mild steel. The project is part of a multidisciplinary effort including chemists and engineers trying to solve one of the biggest issues in corrosion of industrial infrastructures such as oil and gas pipelines.
• Highlight: Winner of 3 Minute Thesis - https://www.youtube.com/watch?v=97okesjynqo

• Face-to-face and online teaching for 24-80 First and Second Year students in Molecular Biology units.
• Handled grading assessments and curriculum design.
• 99.6% approval rating in student evaluation.
• Proposed and implemented improvements in conducting classes to comply with government’s Covid-19 guidelines; successfully reduced 10-15% average class duration while preserving the quality of students’ experience.