Quick overview
Covers production-grade data pipeline design, ETL/ELT implementation, and data infrastructure decisions. Handles batch and streaming architectures using Python, SQL, Spark, Airflow, dbt, and Kafka. Includes data modeling, quality validation, and DataOps practices.
Combines architecture decision frameworks with ready-to-run scripts for orchestration, quality validation, and performance analysis, covering the full modern data stack in one place.
Common tasks
- Building a daily batch ETL from Postgres to Snowflake
- Setting up Airflow DAGs for scheduled data ingestion
- Validating data quality on freshness, completeness, and uniqueness
- Choosing between Lambda and Kappa pipeline architectures
- Optimizing a slow Spark job processing large parquet files
Install paths
Primary command
openclaw install alirezarezvani/senior-data-engineer
ClawHub installer
npx clawhub@latest install alirezarezvani/senior-data-engineer
OpenClaw CLI
openclaw skills install alirezarezvani/senior-data-engineer
Direct OpenClaw install
openclaw install alirezarezvani/senior-data-engineer
Skill metadata
- Category: Data & Analytics
- Language: Markdown
- Version: 2.1.1
- Security status: Benign
Review upstream source
The full public SKILL.md body is not directly fetchable for this entry right now, so this page is using the best available catalog metadata. Review the upstream source page for the latest files, version history, and security scan details: https://clawhub.ai/alirezarezvani/senior-data-engineer
