SK

S**** K*****

Lead Database Developer

No profile blueprint available for this candidate.

Job Compatibility Score

Lead Database Developer

75%

Based on my review of the job description and S**** K*****'s resume, here is a detailed evaluation of her candidacy for the Senior Database Developer role.

Total Score: 60/80

Key Insights:

S**** presents a strong, modern data engineering profile with excellent skills in Azure, ETL, and SQL development. Her experience with cloud-native platforms like Azure SQL Database and Synapse Analytics is a significant asset. However, there is a critical mismatch regarding the core requirement of this role. The position demands a specialist with 10+ years of experience in Microsoft Access and leading migrations from Access to SQL. S****'s resume lists Microsoft Access under "Databases" but provides no evidence of hands-on development, maintenance, or migration experience with it in her work history. Her 5+ years of total experience also falls short of the 10-year requirement. While she is a highly skilled SQL/BI/ETL Developer, her profile does not align with the specific legacy system expertise this migration-focused role demands.


Candidate Evaluation Table

Category Details from Job Description Claimed Experience Relevant Experience Evidence from Resume Score
Job Titles Senior Database Developer 5+ years 5 years "SQL/BI/ETL Developer" at Travelers Companies (May 2024-Present); "SQL/ETL Developer" at Tenet Healthcare (Apr 2022-Mar 2024). 10
Primary Role-Based Skills Microsoft Access Development & Migration Not Claimed Not Evident Listed under "Databases" in skills list, but no project experience, development, or migration details are provided in the experience sections. 0
Database Design & Data Modeling Not explicitly claimed in years 5 years "Designed logical and physical data models using ERWIN" at Tenet Healthcare; "Expertise in... dimensional modeling" in profile. 5
Database Performance Tuning Not explicitly claimed in years 5 years "Performed performance tuning and indexing strategies" at Travelers; "Optimized database indexing and partitioning" at Himalayan Bank. 5
Cloud-native SQL Platforms Not explicitly claimed in years 2+ years "Implemented data ingestion... into Azure SQL Database" and used "Azure Synapse Analytics" at Travelers Companies. 5
Secondary Skills ETL Pipeline Development Not explicitly claimed in years 5 years "Designed and developed Azure Data Factory pipelines" at Travelers; "Designed and developed ETL workflows using Informatica" at Tenet. 3
Database Security & Compliance Not explicitly claimed in years 2 years "Implemented role-based access controls" at Travelers; "Designed... workflows to securely process PHI... in accordance with HIPAA" at Tenet. 2
Stakeholder Collaboration Not explicitly claimed in years 5 years "Collaborated with business users, analysts, and developers" mentioned in profile; experience with Jira and Agile sprints implies collaboration. 2
Tools & Platforms Microsoft Access Not Claimed Not Evident Listed under "Databases" in skills list, but no evidence of usage in projects or tools sections of job experiences. 0
Cloud-native SQL Platforms (e.g., Azure SQL DB) Not explicitly claimed in years 2+ years "Azure SQL Database," "Azure Synapse Analytics" used at Travelers Companies. 8
Certifications Not Specified in JD No certifications mentioned on the resume. 0
Experience Level 10+ years 5+ years 5 years Profile states "more than 5 years of experience." Work history from Feb 2020 to present confirms ~5 years. 5
Domain Expertise Not explicitly specified, but migration focus implies legacy systems. BFSI (2 years), Healthcare (2 years), Insurance (<1 year) 4 years in relevant data-intensive domains (BFSI, Healthcare) "Himalayan Bank" (BFSI) and "Tenet Healthcare" (Healthcare) roles involved database migration and ETL development. 8
Consistency Across Summary, Experience, and Education N/A N/A N/A Resume is highly consistent. Profile summary skills are directly demonstrated in detailed job experiences. Education is listed but degree details are sparse. 7