Open to opportunities

Alex Lee

@alexlee1

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Data Engineer with expertise in big data and cloud technologies.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth and impactful projects.

I am a dedicated Data Engineer with extensive experience in building scalable data solutions and optimizing data processes. Currently, I serve as a Lead Data Engineer at Airbnb, where I have successfully achieved sub-10-minute latency for data serving and ingestion by developing a multi-region data lake on AWS. My commitment to enhancing platform reliability has led me to standardize deployment processes using GitLab CI and Terraform, ensuring high availability and integrity of data assets.

Previously, I worked at Tecton and Instacart, where I implemented test-driven development practices that significantly reduced issue tickets and improved data quality checks in ETL pipelines. My efforts in designing a recommendation system at Instacart generated an additional $5 million in revenue, showcasing my ability to leverage data for business growth. I am passionate about fostering collaboration between data engineering and data science teams to drive innovative solutions and enhance user engagement.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Airbnb

Jun 2022 - Present (2 years 11 months)

Achieved sub-10-minute latency for serving and ingesting data by building a multi-region data lake on AWS to provide near real-time scalable data access. Standardized and streamlined deployment processes and enhanced platform dependability by promoting GitLab CI, Argo CD, and Terraform.

Snowflake Kafka Debezium AWS Gitlab CI Argo Terraform MySQL

Data Engineer

Tecton

Sep 2021 - May 2022 (8 months)

Reduced issue tickets by 60% by introducing test-driven development, ensuring higher quality code and effective processing of semi-structured data with Spark (Scala). Guaranteed 100% accuracy of company data assets by advocating for tools like Deequ, addressing a gap in data quality checks in ETL pipelines.

Spark Scala ETL

Data Engineer

Instacart

Jan 2017 - May 2021 (4 years 4 months)

Reduced machine failures by 15% by enabling proactive maintenance through ingesting and processing machinery data via data pipelines and creating monitoring dashboards. Generated an additional $5 million in revenue by designing a recommendation system using PySpark ML to feed marketing campaigns through a reverse ETL pipeline.