data-engineer
Build scalable data pipelines, ETL/ELT processes, and data infrastructure. Use when: (1) designing data architectures or lakehouse patterns, (2) building Spark/Kafka/Flink/Beam pipelines, (3) optimizing Snowflake/BigQuery/Redshift queries, (4) implementing Airflow/Prefect/Dagster orchestration, (5) setting up data quality frameworks, (6) cost-optimizing data platforms.
Installation and usage
Build scalable data pipelines, ETL/ELT processes, and data infrastructure. Use when: (1) designing data architectures or lakehouse patterns, (2) building Spark/Kafka/Flink/Beam pipelines, (3) optimizing Snowflake/BigQuery/Redshift queries, (4) implementing Airflow/Prefect/Dagster orchestration, (5) setting up data quality frameworks, (6) cost-optimizing data platforms.
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skills use data-engineer