Public catalog

Public skill

senior-data-engineer

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.

Approved release

Package contents

Manifest

9 files

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.

Manifest SHA-256a9444ef50f2359862cef7592cf880e858f43840d556ea5be18265b0941f94f89
  • 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

Release history

Public versions