Generates comprehensive documentation and code samples for Databricks projects, streamlining technical writing and knowledge sharing across data engineering workflows.

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asset-bundles🎯Skill

Streamlines asset management and versioning for machine learning models, enabling efficient packaging, distribution, and deployment of AI artifacts.

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databricks-jobs🎯Skill

Automate, manage, and monitor Databricks job workflows with advanced scheduling, error handling, and performance tracking capabilities

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spark-declarative-pipelines🎯Skill

Simplifies Spark data pipeline development with declarative configuration, enabling rapid, maintainable ETL workflows across complex data transformations.

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mlflow-evaluation🎯Skill

Streamlines machine learning model evaluation and tracking using MLflow, enabling comprehensive performance metrics and experiment management.

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databricks-app-apx🎯Skill

Streamlines Databricks application development with automated provisioning, configuration management, and deployment workflows for complex AI and data projects.

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databricks-config🎯Skill

Automates Databricks workspace configuration, managing clusters, secrets, and infrastructure-as-code for consistent and reproducible data environments.