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Data Engineer with less than a year in AWS & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with strong experience in building data pipelines, ETL processes, and big data systems. Proficient in AWS, Python, SQL, Spark, and Hadoop ecosystem. Skilled in data integration, transformation, and enabling predictive and diagnostic analytics. Adept at collaborating with data scientists, architects, and client technology teams to deliver reliable and high-quality data solutions.
Pune university
Bachelor's Degree · Cloud Computing
N/A – June 30, 2026
CI/CD Pipeline using AWS
December 1, 2025 – January 1, 2026
Designed and implemented a CI/CD pipeline using AWS CodePipeline, CodeBuild, and CodeDeploy to automate application build, test, and deployment. Integrated with GitHub for source control and deployed the application on AWS EC2, improving deployment speed and reducing manual errors.
Cultural Fit Analysis
The candidate's project on CI/CD using AWS demonstrates an initiative for practical application and automation, which is a positive indicator for a dynamic work environment. The stated experience in collaborating with data scientists and architects suggests an ability to work cross-functionally. However, with only one personal project listed and no professional experience, the breadth of exposure and adaptability to diverse team cultures is not fully evident. The education in Cloud Computing aligns well with modern data engineering practices.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with data scientists and architects for pipeline optimization, suggesting an ability to work in a team environment. The project description indicates a focus on improving deployment speed and reducing manual errors, which aligns with operational efficiency. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.