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Aspiring Data Engineer
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Assessing your cultural and operational fit
tokyo-olympic-azure-data_engineering_project
August 30, 2025 – August 31, 2025
Analyze Olympic data using various tools and technologies, including Azure Data Factory, Data Lake Gen 2, Synapse Analytics, and Azure Databricks.
View Projectazure_data_factory_handson
August 25, 2025 – August 25, 2025
This repository documents my hands-on learning with Azure Data Factory (ADF), covering data migration within Azure Cloud and data ingestion from external APIs using HTTP linked services. The project follows a step-by-step approach, including setup, dataset creation, pipelines, and activities.
View ProjectUber-Data-Analytics-
August 23, 2025 – August 25, 2025
This project focuses on data analysis of Uber trips using Python (pandas) and visualization in Power BI. It demonstrates how raw trip data in CSV/Parquet format can be transformed into meaningful insights through exploratory analysis and an interactive dashboard.
View Projectintraday-eod-stock-ingest
July 29, 2025 – July 29, 2025
A Python project to fetch, clean, and store End-of-Day (EOD) stock market data from the Marketstack API into a PostgreSQL database. This project focuses on reliable retrieval and storage of daily stock prices with secure API handling. Automation and additional metadata ingestion are planned for future enhancements.
View ProjectFile_transfer_service
April 1, 2025 – April 1, 2025
File_transfer_service — GitHub repository
View ProjectCipherSchools-Flutter-Assignmen
March 24, 2025 – March 24, 2025
Building a Basic Expense Tracking Application
View Projectflutter_task_internshala
February 26, 2025 – February 26, 2025
flutter_task_internshala — GitHub repository
View ProjectGemini_Api_Hackethon
August 12, 2024 – August 12, 2024
Building A Animal Rap Quiz App In Flutter Using Google's Gemini AI Model
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and self-learning. The project diversity, ranging from data engineering to mobile app development (Flutter/Dart), suggests a broad interest in technology. While the data-related projects align with a Data Scientist role, the significant number of mobile development projects indicates a potentially broader career interest. The lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative, corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive learning approach and an ability to document their work. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like teamwork, stress handling, or communication clarity beyond project descriptions.