World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
alirezarezvani__claude-skills/engineering-team/senior-data-engineer/skill.mdProven benefits and measurable impact
Cut GDPR audit prep time by automating compliance checks and documentation.
Reduce non-compliance risks with expert-reviewed data protection policies.
Triple DPO productivity with automated compliance workflows and templates.
Perfect for these scenarios
Conduct internal/external GDPR compliance audits for regulatory readiness and risk mitigation.
Prepare and review privacy impact assessments for new data processing activities.
Identify GDPR/DSGVO compliance gaps and create actionable remediation plans.
Assist Data Protection Officers with day-to-day compliance tasks and documentation.