Data Engineer Resume Example
Build a data engineer resume with pipeline architecture, data quality, and processing scale metrics. Spark, Airflow, DBT, and cloud data platform examples.
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Designed and maintained data lake on AWS S3/Glue processing 10TB of daily ingestion
Built real-time streaming pipeline using Kafka and Flink, reducing data freshness from 24 hours to 5 minutes
Implemented data quality framework with Great Expectations, catching 95% of data anomalies before production
Migrated legacy ETL jobs from SSIS to dbt + Airflow, reducing transformation runtime by 60%
Enabled self-serve analytics for 50+ analysts by building dimensional data models in Snowflake
Tips for Your Data Engineer Resume
Include data volume metrics: TB/PB processed, records/second throughput
Show both batch and streaming processing experience
Mention data quality and governance practices, they're increasingly valued
List cloud platforms (AWS, GCP, Azure) with specific services used
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