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kevalvpatel/README.md

👋 Hi there, I'm Keval

🚀 Data Engineer | 📍 Based in Seattle, WA

🔍 About Me

Experience building scalable ETL pipelines, optimizing data warehouses, and visualizing insights to drive decision-making. I specialize in cloud-based data solutions using AWS, Azure, Databricks and Snowflake, and enjoy turning raw data into meaningful outcomes.

Currently working at Amazon, transforming E-commerce data to power daily business decisions.

🧠 Skills & Technologies

💻 Languages & Scripting

Python SQL PySpark JavaScript Shell Script

🔧 Big Data & ETL

Snowflake Databricks DBT Airflow Apache Spark

☁️ Cloud Platforms

Azure AWS GCP

🎓 Certifications

Microsoft Fabric Data Engineer Associate Astronomer Apache Airflow 3 Databricks dbt Certification AWS Cloud Operations HackerRank SQL GitLab CI/CD

📫 Let’s Connect

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  1. Supply-Chain-Analytics-Azure-Databricks Supply-Chain-Analytics-Azure-Databricks Public

    A Complete a Supply Chain Analytics Using Azure & Databricks

    Jupyter Notebook

  2. Enterprise-Banking-Platform-Snowflake-Dbt-Airflow Enterprise-Banking-Platform-Snowflake-Dbt-Airflow Public

    End to end banking data platform built with Snowflake, Dbt & Airflow

    Python

  3. Cricket-Analytics-Snowflake-Medallion Cricket-Analytics-Snowflake-Medallion Public

    A Complete Cricket Data Analysis Project using Snowflake

  4. Tokyo-Olympics-Analytics-Azure Tokyo-Olympics-Analytics-Azure Public

    Explore the Tokyo Olympics data journey! We ingested a CSV from GitHub into Azure using Data Factory, stored it in Data Lake Storage Gen2, performed transformations in Databricks, conducted advance…

    Jupyter Notebook

  5. Stock-Market-Realtime-Ingestion-AWS-Kafka Stock-Market-Realtime-Ingestion-AWS-Kafka Public

    A Complete Stock Market Analysis Project using Kafka

    Jupyter Notebook

  6. Library-Management-Data-Modeling-SQL Library-Management-Data-Modeling-SQL Public

    Designing a Library Management System Using SQL