Trang Ngo
Data and Ai Engineer @Sanofi
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WORK HISTORY
Data and Ai Engineer @Sanofi
Project: Built and operated scalable, real-time data pipelines on AWS, enabling low-latency analytics for pharmaceutical manufacturingMission- Designed and delivered a real-time data streaming platform enabling low-latency monitoring of pharmaceutical manufacturing, improving data availability for operational decision-making- Built and operated scalable event-driven pipelines using Apache Kafka and Apache Flink, ingesting and processing high-throughput production data streams- Implemented multi-sink architecture with optimized data storage in Amazon S3 (data lake) and Neo4j (relationship analysis)- Developed ELT pipelines in a modern data stack, transforming data in Snowflake using dbt, with scheduling and dependency management via Apache Airflow- Automated cloud infrastructure using Terraform, provisioning and managing AWS services including Amazon MSK, managed Flink, and secure IAM configurations- Applied cloud data engineering best practices (in line with AWS certification), including infrastructure automation, scalable architecture design, and secure data access management.Tech Stack- AWS Managed Services- MSK (managed Apache Kafka for event streaming)- Managed Flink (stream processing)- S3 (object storage for data lake)- IAM (identity and access management, roles, policies)- Managed Airflow (workflow orchestration for pipelines)- Other Tools: Kafka, Snowflake, dbt, Neo4j Aura, Terraform
EDUCATION
Université de Bordeaux
Master's degree, Computer Software Engineering
Université Clermont Auvergne
Doctor of Philosophy - PhD, Data Engineering
ABOUT TRANG NGO
Hi, I\'m a data engineer with 10+ years in IT, including experience across Business Analysis → Research (IoT & Streaming) → Data EngineeringPassionate about learning new technologies and taking ownership of projects, I’m open to new challenges and opportunities to contribute to innovative teams. Feel free to connect or message me here on LinkedIn.
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