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Data Engineer | Snowflake | Azure | Databricks I build scalable data pipelines, real-time systems, and AI-integrated analytics solutions.
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Assessing your cultural and operational fit
IBM
Data Scientist
June 25, 2026 – Present
genai-powered-crypto-sentiment-etl
January 18, 2026 – Present
End-to-end ETL pipeline that collects crypto-related content, performs AI-powered sentiment analysis using LLMs, and delivers actionable market insights
View ProjectLineage-Analyzer
November 30, 2025 – November 30, 2025
It analyses the sql code and create the metadata
View ProjectMedallion-Data-Lakehouse-Pipeline-using-PySpark-and-dbt
October 30, 2025 – October 30, 2025
Medallion-Data-Lakehouse-Pipeline-using-PySpark-and-dbt — GitHub repository
View ProjectAWS_Notes_Data_Engineer
September 18, 2025 – September 18, 2025
AWS_Notes_Data_Engineer — GitHub repository
View ProjectCustomer360_ETL_pipline
September 11, 2025 – October 30, 2025
Customer360_ETL_pipline — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a mix of data-related and basic web development tasks. While there's a clear alignment with data science in some projects, the breadth of unrelated projects (e.g., 'ValentineGift', 'registration', 'hp-lucky-draw') suggests a diverse interest but potentially a lack of focused depth in the target role's core areas. The experience level is listed as 0, but a current role as 'Data Scientist' at IBM contradicts this, indicating a potential data inconsistency or very recent entry into the role. This makes it difficult to fully assess cultural fit based on a consistent career trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.