senior-data-engineer v1

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

• SKILL.md5,802 bytes
• references/data_modeling_patterns.md26,737 bytes
• references/data_pipeline_architecture.md34,584 bytes
• references/dataops_best_practices.md43,421 bytes
• references/troubleshooting.md3,317 bytes
• references/workflows.md15,500 bytes
• scripts/data_quality_validator.py60,660 bytes
• scripts/etl_performance_optimizer.py66,066 bytes
• scripts/pipeline_orchestrator.py28,771 bytes