Snowflake plugins

Build production-ready data engineering stacks: Airflow DAGs for orchestration, dbt models for transformations, scalable pipelines with Spark on cloud warehouses like BigQuery and Snowflake, Kafka streaming, optimized embeddings for RAG, and vector databases like Pinecone, Weaviate, and pgvector.

Empower Claude Code to handle business analyst workflows: design KPI frameworks and dashboards for sales/marketing/product, build 3-5 year startup financial models with cohort revenue and scenario analysis, calculate TAM/SAM/SOM market sizes, and optimize seed-to-Series A metrics using Python, SQL, Snowflake, and BigQuery.

Design scalable database architectures, build interactive D3.js visualizations in React/Vue/Svelte, set up A/B tests with metrics validation, audit analytics tracking for data quality, apply Postgres best practices, and optimize complex SQL queries across cloud databases like Snowflake and BigQuery.

Streamline Airflow data engineering workflows using Astro CLI: initialize and manage local/production environments, author/debug/deploy DAGs, profile warehouse schemas with lineage tracing, integrate dbt Cosmos, query tables, and migrate to Airflow 3.x.

Build and operate AWS data lakes: create managed Iceberg tables on S3 with Glue integration, import data from S3/JDBC/Redshift/Snowflake/BigQuery/DynamoDB, execute and manage Athena SQL queries, store/query vectors, resolve assets across catalogs, audit Glue inventories, and troubleshoot connections.

Compile .view.yml semantic layer definitions into dialect-specific SQL for Postgres, MySQL, BigQuery, and Snowflake. Validate schemas for errors, duplicates, references, and types. Inspect views, dimensions, measures, and entities to explore structure before building and testing semantic queries.

Automate Omni Analytics workflows via REST API and embed SDK: build/edit semantic models in YAML, run queries on semantic layer, embed dashboards with custom themes/filters, administer users/permissions/schedules, optimize models for AI agents, evaluate query accuracy, and export metrics to Snowflake/Databricks using CLI skills and specialized agents.

Empower AI coding agents to build and manage Honeydew semantic data models: query/analyze warehouse data via structured/natural language queries, define entities/relations/metrics/domains from Snowflake/BigQuery, handle git-like workspace/branch workflows, create context items, and validate model integrity.

Generate optimized SQL queries from natural language for BigQuery, PostgreSQL, MySQL, and Snowflake; perform cohort analysis on CSV/Excel user data to compute retention rates, visualize trends, and detect anomalies; evaluate A/B tests with statistical significance, confidence intervals, and launch recommendations.

Generate cost-safe geospatial SQL queries for Overture Maps data in BigQuery or Snowflake, then render results directly on interactive Dekart maps for quick visualization and analysis without high query costs.

Equip AI agents to analyze event data in Altertable lakehouse: explore schemas across databases like DuckDB, Snowflake, BigQuery; execute SQL queries; build funnels, segments, retention insights; detect anomalies, forecast trends; generate visualizations; manage memories, approvals, and automated monitoring workflows.

Generate warehouse-specific Python scripts to collect and push table metadata, column lineage, and query logs from Snowflake, BigQuery, Databricks, Redshift to Monte Carlo via push ingestion API. Verify ingestion accuracy, create/update custom lineage nodes and edges, and delete assets using GraphQL commands.

Manage Keboola data pipelines via CLI: initialize projects, sync configs bidirectionally with diff previews, and launch 10-agent AI audits for SQL quality, security, performance, financial logic, data architecture, PII detection, lineage mapping, and templatization readiness, generating prioritized reports and fixes.