a5c-ai/etl-pipeline-builder
library/specializations/code-migration-modernization/skills/etl-pipeline-builder/SKILL.md
Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter etl-pipeline-builderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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3
Scanners Passed
9
Scanners in report
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TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 28, 2026, 4:30 PM168.7s2 files scanned
SKILL.md
- name:
- etl-pipeline-builder
- description:
- Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring
- allowed-tools:
- ["Bash", "Read", "Write", "Grep", "Glob", "Edit"]
ETL Pipeline Builder Skill
Builds and manages ETL (Extract, Transform, Load) pipelines for data migration, supporting incremental loads, CDC, and comprehensive monitoring.
Purpose
Enable data pipeline creation for:
- Source-to-target mapping
- Transformation definition
- Incremental load setup
- CDC configuration
- Pipeline monitoring
Capabilities
1. Source-to-Target Mapping
- Define column mappings
- Handle schema differences
- Configure data type conversions
- Manage derived columns
2. Transformation Definition
- Data type transformations
- Value mappings
- Aggregations
- Lookups and enrichments
3. Incremental Load Setup
- Define watermarks
- Configure incremental columns
- Handle deletes
- Manage merge logic
4. CDC Configuration
- Log-based CDC
- Trigger-based CDC
- Timestamp-based CDC
- Full load comparison
5. Error Handling
- Define retry policies
- Configure dead letter queues
- Handle data quality issues
- Implement alerting
6. Pipeline Monitoring
- Track pipeline metrics
- Monitor data volumes
- Alert on failures
- Generate SLA reports
Tool Integrations
| Tool | Type | Integration Method | |------|------|-------------------| | Apache Airflow | Orchestration | Python | | dbt | Transformation | CLI | | Airbyte | Data integration | API | | Fivetran | SaaS ETL | API | | AWS DMS | Cloud migration | CLI | | Debezium | CDC | Config |
Output Schema
{
"pipelineId": "string",
"timestamp": "ISO8601",
"pipeline": {
"name": "string",
"source": {},
"target": {},
"mappings": [],
"transformations": [],
"schedule": "string"
},
"artifacts": {
"dagFile": "string",
"configFile": "string",
"sqlFiles": []
},
"deployment": {
"status": "string",
"url": "string"
}
}
Integration with Migration Processes
- database-schema-migration: Data movement
- cloud-migration: Cloud data pipelines
- data-format-migration: Format transformation
Related Skills
data-migration-validator: Validationschema-comparator: Schema mapping
Related Agents
database-migration-orchestrator: Pipeline orchestrationdata-architect-agent: Pipeline design
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