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Found 65 Skills
Reference portfolio demonstrating Azure data engineering patterns, Medallion architecture, and end-to-end analytics solutions
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
Master data engineering, ETL/ELT, data warehousing, SQL optimization, and analytics. Use when building data pipelines, designing data systems, or working with large datasets.
Claude Code skills for analytics and data engineers working with dbt, Snowflake, and data pipelines
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
Infrastructure-as-Code patterns for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
Comprehensive study guide covering data engineering concepts, tools, and best practices for learning and reference
Generates the Data Engineering team weekly/sprint status report from Azure DevOps. Organized by Epic, with objectives, on/off track status, risks, completed and planned items per area, clickable ADO links, and unplanned items flagged. Use when the user asks for a Data Engineering sprint report, weekly report, current sprint status, activities report, or sprint summary.
End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
End-to-end ETL pipeline for Harvard Art Museums API with SQL analytics and Streamlit visualization