Data Engineer Resume Example

“Data engineer with 5 years building and maintaining scalable data pipelines and warehousing solutions. Expert in Spark, Airflow, and cloud data platforms (Snowflake, BigQuery) with a focus on data quality, pipeline reliability, and enabling self-service analytics for business teams.”

• Built a real-time data pipeline with Kafka and Spark Streaming that processes 5TB+ daily from 30+ source systems
• Migrated legacy ETL to dbt on Snowflake. Transformation time went from 6 hours to 25 minutes
• Set up a data quality framework with Great Expectations - 500+ rules monitoring pipeline health at 99.5% reliability
• Implemented the medallion architecture (bronze/silver/gold) in Delta Lake. 100+ business users can now do self-service analytics
• Cut Snowflake compute costs by 40% through query tuning, warehouse scheduling, and adding materialized views for heavy reports
• Responsible for Airflow DAGs that orchestrate nightly batch processing across all data pipelines. About 200 DAGs total
• Worked with the analytics team to understand their data needs and build clean, well-documented tables they could query directly
• Wrote Python scripts for data ingestion from REST APIs, SFTP drops, and database CDC streams
• Maintained schema documentation in our data catalog. Made sure every production table had descriptions, owners, and freshness SLAs

Include these keywords in your resume to pass Applicant Tracking Systems.

• Databricks Certified Data Engineer Associate
• AWS Certified Data Analytics - Specialty