Data Engineer Resume Bullet Points & ATS Keywords
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Redesigned daily batch ETL pipelines in Apache Spark and dbt, reducing query execution time by 68% (from 4.2 hours to 80 minutes) across 35 TB of raw transaction data.
Architected end-to-end migration from on-premise Oracle database to Snowflake, slashing annual cloud computing costs by $180,000 (34%) through auto-suspend cluster tuning.
Constructed real-time streaming ingestion pipeline utilizing Apache Kafka and Spark Streaming, enabling sub-second telemetry analytics for 1.8M active IoT devices.
Implemented Great Expectations and dbt test suites across 200+ production models, catching 99.4% of data anomalies and null anomalies prior to executive dashboard refreshes.
Engineered Apache Iceberg table format on AWS S3 data lake, accelerating downstream BI Tableau dashboard query speeds by 4.2x for 150+ business stakeholders.
Automated 80+ interdependent data workflows via Apache Airflow with Slack webhook alerts, achieving 99.9% pipeline SLA reliability over 12 consecutive months.