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ETL Developer with 8+ years in Data Validation & Data Warehouse Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ETL Tester with 5+ years of experience in ETL Testing, Data Validation, and Data Warehouse Testing across Healthcare and Investment Banking domains with an overall 8+ years of IT experience. Strong expertise in SQL, Source-to-Target Mapping (STTM), data reconciliation, and data quality validation for large-scale datasets across source and target systems. Hands-on experience with ETL tools (Informatica, Talend), Snowflake, Oracle, SQL Server, and AWS (S3, Redshift, Athena), along with Python (Pandas) for cross-system data validation. Proven ability to perform end-to-end ETL process validation, BI testing (Power BI), and defect management using JIRA in Agile Scrum environments, ensuring high data accuracy, integrity, and reliability.
Cultural Fit Analysis
The candidate has experience in both Healthcare and Investment Banking domains, demonstrating adaptability to different industry contexts. Their involvement in Agile Scrum environments suggests a fit for dynamic, collaborative work cultures. The role as an ETL Tester aligns well with the target role, indicating a focused career path. However, the lack of diverse project types beyond ETL testing might limit broader cultural contributions.
Soft Skills & Operational Fit
The candidate demonstrates experience in collaborating with Business Analysts, Developers, and stakeholders in Agile Scrum environments, indicating good teamwork and communication skills. Their background in production support also suggests strong problem-solving and incident management capabilities. However, without specific assessment data, the depth of these soft skills cannot be fully evaluated.