
Data Engineer | Open to opportunities | Snowflake • DBT • Airflow • AWS • SQL • Python
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Assessing your cultural and operational fit
Teleperformance
Data Scientist
June 19, 2026 – Present
blackpotheads_server
February 15, 2026 – Present
blackpotheads_server — GitHub repository
View Projectreal-time-stock-market-de
February 12, 2026 – Present
end-to-end real-time data pipeline using the Modern Data Stack
View ProjectBanking-modern-datastack
January 23, 2026 – Present
Banking-modern-datastack — GitHub repository
View Projecthealthcare-data-engineering-project
January 14, 2026 – Present
healthcare-data-engineering-project — GitHub repository
View Projectretail-sales-analysis
April 19, 2025 – April 19, 2025
Retail sales data analysis using Python and Matplotlib
View ProjectDE-Project-Weather
September 20, 2024 – September 20, 2024
DE-Project-Weather — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data engineering and some data analysis. While the target role is 'Data Scientist', the projects lean more towards data pipeline construction rather than advanced statistical modeling, machine learning, or experimental design, which are core to a senior Data Scientist role. The project diversity is good, but the alignment with the specific 'Data Scientist' target role is moderate, suggesting a potential gap in core data science skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.