 Completeness Scoring:

1. Years of Experience: 8/10  
   - The resume provides clear dates for employment and education, allowing the interviewer to calculate the candidate's years of experience. However, some formatting issues slightly hinder readability.

2. Experience Summary: 6/10  
   - A brief professional summary is present, but it lacks depth and clarity in describing the overall scope of the candidate's experience.

3. Skills: 9/10  
   - The resume lists a comprehensive set of technical skills, certifications, and tools. However, the organization and readability could be improved.

4. Role: 7/10  
   - The roles are mentioned with responsibilities, but the descriptions are fragmented and lack clarity in showcasing the depth of the candidate's contributions.

5. Role Type: 6/10  
   - While the resume hints at technical and data engineering roles, it does not explicitly categorize or elaborate on the specific role types (e.g., leadership, consulting).

6. Domain/Industry: 5/10  
   - The resume provides some domain-related information (e.g., Big Data, Cloud), but it does not clearly specify the industries or domains the candidate has worked in.

7. Projects Executed: 4/10  
   - Projects are mentioned, but they lack detailed descriptions, including scope, duration, key achievements, and specific responsibilities.

