Data pipelines are the backbone of modern data teams. A senior data engineer builds these pipelines to move and transform data. The skill covers essential tools like Python, SQL, Spark, Airflow, dbt, and Kafka.
Use this skill when designing data architectures or building ETL/ELT systems. It helps with data modeling, pipeline orchestration, data quality, and DataOps. You can also troubleshoot data issues and optimize data workflows.
Global
mkdir -p ~/.claude/skills/senior-data-engineerProject
mkdir -p .claude/skills/senior-data-engineerSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning