TechnologyMid-Level
Data Engineer Resume Example
ATS-optimized · Real impact metrics · 2026 format
Use This as My Starting Point →Your Name
Data Engineer · your.email@example.com · linkedin.com/in/yourname · City, Country
Professional Summary
Data Engineer with 4 years building reliable, scalable data pipelines for analytics and ML teams. Expert in dbt, Apache Airflow, and Snowflake. Reduced pipeline failure rate from 22% to 0.4% and cut data warehouse costs by $380K annually through optimization.
Work Experience
Data Engineer
Company Name · Jan 2021 – Present
- Designed and maintained 120+ Airflow DAGs ingesting data from 40 source systems into Snowflake data warehouse — 99.6% reliability
- Reduced pipeline failure rate from 22% to 0.4% by implementing data quality checks with Great Expectations at every ingestion layer
- Cut Snowflake compute costs by $380K annually through query optimization, clustering strategy, and caching layer redesign
- Built dbt transformation layer with 300+ models serving analytics, BI, and ML teams with full lineage documentation
- Migrated 6TB legacy MySQL data warehouse to Snowflake — zero data loss, <4 hours total downtime during cutover
- Implemented real-time streaming pipeline on Kafka + Flink processing 2M events/hour for live operations dashboard
Core Skills
PythonSQLdbtApache AirflowSnowflakeKafkaSparkAWSGreat ExpectationsTerraformPostgreSQL
How to Use This Data Engineer Resume Example
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