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Data Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
digital-payments-analytics-pipeline
April 12, 2026 – Present
Retail Data Engineering Platform using AWS S3, Spark, MySQL and Python
View Projectazure-snowflake-pipeline
December 25, 2024 – March 9, 2025
azure-snowflake-pipeline — GitHub repository
View ProjectGitHub-CheatSheet
June 27, 2023 – September 11, 2023
GitHub Cheatsheet - Complete Reference for GitHub Commands
View ProjectStriversSheetChallenge
June 6, 2023 – July 30, 2023
complete all questions with good grip on them.
View ProjectCultural Fit Analysis
The candidate's project list shows a diverse range of interests, from frontend development (React, HTML, CSS) to data engineering (Python, AWS, Spark, MySQL) and even database scripting (PL/pgSQL). This breadth suggests a curious and adaptable individual, which can be a positive for cultural fit, indicating a willingness to learn and explore different domains. However, the lack of focus on a single area might also suggest a lack of deep specialization, which could be a concern for a senior-level role requiring specific expertise. The projects are all personal, which is common for candidates with limited professional experience, but also means there's no insight into collaboration or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.