- Validate ETL/ELT processes and data pipelines across cloud environments.
- Utilize Claude to create/optimize data validation rules, queries, and reconciliation logic.
- Implement AI-driven solutions to automate data validation and anomaly detection.
- Build RAG-enabled support systems to improve data quality insights.
- Automate workflows using Agentic AI frameworks.
- Identify data discrepancies and troubleshoot issues in high-volume datasets.
- Use BI tools like Tableau and Looker to validate reporting data.
- Package validation utilities using Docker.
DockerPythonSQL+4 more