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rushithareddyyy/README.md

Hi, I'm a Data Engineer

Cloud-Native Architect · Real-Time Pipelines · ML-Ready Platforms

I design scalable, production-grade data systems using cloud-native tools across GCP, Azure, and AWS — specializing in real-time data streaming, analytics engineering, and ML workflow integration.

Over the years, I’ve delivered:

  • 🚘 Toll data pipelines (Kafka + Spark) — improving fraud detection by 40%
  • 🏥 Healthcare reporting platforms (BigQuery + dbt) — reducing clinical data errors by 25%
  • 🛍️ Retail analytics systems (ADF + Snowflake) — enabling fast, reliable SKU-level insights across 10+ sources

I focus on building data systems that are fast, reliable, observable, and easy to use across teams.

Python Java MySQL Kafka dbt Airflow Snowflake GCP Azure Power BI Tableau

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  1. Application-Tracking-System-Analysis Application-Tracking-System-Analysis Public

    Improved resume generator based on ATS percentage match and missing keywords with personalized summary

    Python

  2. E-education-Portal E-education-Portal Public

    JavaScript

  3. Face-Detection Face-Detection Public

    This project implements face detection and recognition using Classifiers, facial feature detection, and real-time video/webcam processing.

    Python

  4. Responsive-Travel-Website Responsive-Travel-Website Public

    By combining responsive design, dynamic theme switching, and smooth animations, this project successfully enhances user experience and ensures seamless functionality across different devices.

    HTML

  5. Sentiment-analysis-for-election-prediction Sentiment-analysis-for-election-prediction Public

    sentiment analysis on text data to classify sentiment as positive, negative, or neutral to predict election results

    Jupyter Notebook

  6. Data-Pipeline-Project Data-Pipeline-Project Public

    end-to-end data pipeline to stage, transform, and validate data from Amazon S3 to a Redshift data warehouse using Apache Airflow

    Python