Data Engineer Resume Example
A professional summary and achievement bullets you can adapt. All examples include quantified results and ATS keywords.
Professional Summary
Data Engineer with 5+ years designing and maintaining large-scale data pipelines and warehouses. Expert in Snowflake, dbt, and Apache Airflow. Built real-time streaming pipelines processing 5M+ events daily, enabling business teams to make decisions with sub-5-minute data latency.
Experience Bullet Points
Built ETL pipelines in Airflow and dbt processing 2TB+ daily, ensuring 99.9% data freshness for analytics dashboards
Migrated data warehouse from on-premise Hadoop to Snowflake, improving query performance by 10x and reducing costs by 35%
Designed real-time streaming pipeline with Kafka and Spark Streaming, processing 5M+ daily events with sub-5-minute latency
Implemented data quality frameworks with Great Expectations, catching 200+ data anomalies per week before they reached stakeholders
Built self-service analytics infrastructure in dbt enabling 30+ business users to create models without engineering support
Keywords Used in This Example
Make it your own
Resumity tailors your resume to any job description and suggests quantified bullets using your real experience.