Data Engineer specializing in building scalable and efficient data pipelines. Passionate about leveraging technology to solve complex data challenges and drive
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data-engineering-interview-prep
January 4, 2026 – Present
Interview-focused data engineering questions, curated for product-based company preparation.
View ProjectBWN-real-time-stock-data-streaming-with-kafka
July 28, 2025 – Present
BWN-real-time-stock-data-streaming-with-kafka — GitHub repository
View Projectde_project_03_stock_etl_pipeline
November 14, 2024 – November 14, 2024
de_project_03_stock_etl_pipeline — GitHub repository
View Projectde_project_02_imbd_top_rating
November 7, 2024 – November 7, 2024
de_project_02_imbd_top_rating — GitHub repository
View Projectde_project_01_retail_sales_analytics
November 5, 2024 – November 5, 2024
de_project_01_retail_sales_analytics — GitHub repository
View Projectpandas-amazon-sales-data-analysis
September 5, 2024 – September 7, 2024
A project focused on analyzing and processing E-commerce sales data using pandas. This repository includes code for data cleaning, transformation, and analysis of sales data, covering tasks such as standardizing column names, handling missing values, and deriving insights on sales performance.
View ProjectStockMarketScraper-Extracting-Real-Time-Stock-Data-from-Yahoo-Finance
June 12, 2023 – June 12, 2023
In this web scraping project, my goal is to extract real-time stock market data from the renowned Yahoo Finance website. By leveraging web scraping techniques, I am able to capture up-to-date information on stock prices, volume, market caps, and other key metrics.
View ProjectBuilding-an-Automated-Weather-Data-Pipeline-with-Airflow-From-Ingestion-to-Data-Warehouse
May 31, 2023 – Present
This project focuses on building a robust data pipeline using Apache Airflow to automate the ingestion of weather data from the OpenWeatherAPI and loading it into a data warehouse, specifically AWS Redshift.
View ProjectLeetCode
August 1, 2022 – October 29, 2022
Here, We will be solving LeetCode coding questions with the using of Java programming Language.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data engineering and analytics, which aligns with the technical demands of a Data Scientist role, particularly in areas involving data acquisition and preparation. The diversity of projects (weather data, stock market, retail sales) suggests a broad interest in applying data skills across different domains. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but there is no information on collaboration, problem-solving under pressure, or communication in a team setting.