- End-to-end Data Pipelines.
- Architecture review, recommendations, and discussions.
- Experience with AWS and Azure.
- Data Platform build-outs.
- Data migration planning and execution.
- Proposals and recommendations templates for data architectures.
- Code cleanup and tech debt cleanup.
- Testable, maintainable, clean code.
- Engineering best practices for Data Teams.
- Data Pipelines and Ops (DataOps).
- CI/CD for Data Engineering.
- Spark, Python, AWS, GCP, IaC, etc Data Services
- Data Lakes, Data Warehouses, Data Modeling, etc.
- Up-skilling team members.
- Portable Data Services