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Data Engineer with 1+ years in ETL pipelines and Azure Data Factory.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Data Engineer with hands-on experience building ETL pipelines, Azure Data Factory workflows, Azure Data Lake Storage Gen2 solutions, and Power BI dashboards. Skilled in SQL, Python, Azure Databricks, and Data Warehousing concepts, with experience implementing Medallion Architecture and end-to-end data pipelines. Passionate about transforming raw data into scalable analytics solutions and business insights.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on data engineering tasks relevant to the target role. The experience with different data sources (banking, hospital, real estate, food delivery) shows some diversity in application domains. The certifications indicate a commitment to continuous learning, which aligns with a growth-oriented culture. However, the overall experience level is entry-level, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The resume indicates a passion for transforming raw data into scalable analytics solutions and business insights, suggesting a goal-oriented and analytical mindset. The project descriptions show an ability to work on end-to-end data pipelines, implying good problem-solving and project execution skills. However, without specific psychometric or English test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.