# Duyet Le | Résumé

me@duyet.net · https://duyet.net · https://github.com/duyet · https://linkedin.com/in/duyet

Data Engineer with 6+ years of experience in modern data warehousing, distributed systems, and cloud computing. Proficient in ClickHouse, Spark, Airflow, Python, Rust.

## Experience

### Sr. Data Engineer
Cartrack (Oct 2023 - Present)

• Deprecated old stack (Spark, Iceberg, Trino) replaced by ClickHouse.
• Migrated 350TB+ Iceberg Data Lake to ClickHouse on Kubernetes.
• Enhanced ClickHouse for 300% better data compression and 2x-100x faster queries, compared with Trino + Iceberg
• Automated operations with Airflow: data replication, data processing, healthchecks, etc.
• Multi-agent LLM + RAG (LlamaIndex, Qdrant, ClickHouse text2sql, Nextjs, etc)

### Sr. Data Engineer
Fossil Group Inc (Oct 2018 - Jul 2023)

• Optimize monthly costs from $45,000 to $20,000 (GCP and AWS Cloud).
• Managed a team of 4 data engineers and 2 data analysts to provide end-to-end analytics solutions to stakeholders. Raised data-driven awareness throughout the organization and encouraged everyone to take a more data-driven approach to problem-solving.
• Designed next-gen Data Platform in Rust ↗︎
• Developed tools for Data Monitoring, Data Catalog, and Self-service Analytics for internal teams with everything deployed on Kubernetes.

### Sr. Data Engineer
FPT Software (Jun 2017 - Oct 2018)

• Built data pipelines processing 2TB/day with AWS for a Recommendation System
• Ingested and transformed 1TB+/day into Data Lake using Azure Cloud and Databricks

### Data Engineer
John von Neumann Institute (Sep 2015 - Jun 2017)

• Developed data pipelines, data cleaning and visualizations for adhoc problems.
• Train and deployed ML models: customer lifetime value, churn prediction, sales optimization, recruitment optimization, etc.

## Education

### Bachelor's degree, Information System
University of Information Technology
Thesis: Network of career skills and support an optimal job search
Thesis URL: https://arxiv.org/pdf/1707.09751

## Skills

**Data Engineering:** ClickHouse, Spark, Kafka, Airflow, AWS, BigQuery, Data Studio, Python, Rust, Typescript.

**DevOps:** CI/CD, Kubernetes, Helm.

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