Data Engineer | Building Scalable Data Pipelines & Automations | Python, Spark, SQL, Databricks
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Assessing your cultural and operational fit
AU Small Finance Bank
Data Engineer
June 12, 2026 – Present
Product_Reviews_Data_Engine
June 7, 2026 – Present
Product_Reviews_Data_Engine — GitHub repository
View ProjectApple-ETL-Data-Pipeline
April 14, 2026 – Present
Apple-ETL-Data-Pipeline — GitHub repository
View ProjectFMCG-Data-Migration-Pipeline
March 17, 2026 – Present
FMCG-Data-Migration-Pipeline — GitHub repository
View ProjectEcommerce-Data-Engineering-Project
April 4, 2025 – April 4, 2025
Ecommerce-Data-Engineering-Project — GitHub repository
View ProjectNYC-Yellow-Taxi-Trips-Data-Engineering-Project
September 24, 2024 – September 24, 2024
NYC-Yellow-Taxi-Trips-Data-Engineering-Project — GitHub repository
View ProjectWorldwide-Earthquake-Events-Data-Engineering-Project
September 22, 2024 – September 22, 2024
This repository contains a data engineering project analyzing global earthquake events. Utilizing Microsoft Fabric, PySpark, and Power BI, it automates data fetching and cleaning from the USGS Earthquake Catalog and provides dynamic visualizations to uncover insights.
View ProjectLoan-Eligibility-Checker-App
September 4, 2024 – September 4, 2024
Loan-Eligibility-Checker-App — GitHub repository
View ProjectCompany-Technography-Analysis
July 1, 2024 – July 8, 2024
Company-Technography-Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data engineering, aligning with the target role. However, the experience level is listed as 0, and the current role start date is in the future (2026), which raises concerns about the accuracy of experience and immediate cultural fit for an active role. The breadth of skills is limited to Python and Jupyter Notebook for most projects, with some exposure to Microsoft Fabric, PySpark, and Power BI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.