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diegovillatoromx/README.md

Hi there! 👋 I'm Diego Villatoro

Data Engineer | AWS Enthusiast | ETL Wizard

Coder GIF

  • 🔭 I’m currently architecting robust Data Engineering solutions on AWS, specializing in ETL workflows with Snowflake and Airflow.

  • 💬 Ask me about building scalable data pipelines, optimizing AWS infrastructure for data processing, and leveraging Snowflake for efficient data warehousing.

  • 📫 How to reach me: diegovillatoromx@gmail.com

  • ⚡ Fun fact: Passionate about crafting seamless data pipelines! 🚀 Leveraging AWS services like S3, EC2, Kinesis, and Snowflake, I design and implement ETL workflows for effective data processing. Airflow orchestrates these pipelines, ensuring reliability and scalability. Let's navigate the realm of Data Engineering together, turning raw data into valuable insights! 🛠️🔍

Connect with me:

diegovillatomx diegovillatoromx diegovillatoromx diegovillatoromx

Technologies I've Worked With:

Amazon S3 Snowflake Amazon MWAA Amazon Kinesis Firehose AWS EC2

Pinned

  1. flink-kinesis-streaming-pipeline flink-kinesis-streaming-pipeline Public

    This Project will simulate real-time accidents data and architect a pipeline that will help us analyze and take quick actions using AWS Kinesis, Apache Flink, Grafana, and Amazon SNS.

    Python 1

  2. ETL-Pipeline-Spotify ETL-Pipeline-Spotify Public

    Crafting the strategy with the understanding that the ETL pipeline for Spotify is more than just a technical procedure

    Shell 1

  3. Customer_Churn_Prediction_Model Customer_Churn_Prediction_Model Public

    Our case study focuses on a churn dataset, where "churned customers" are those ending relationships with their current company. XYZ, a service provider, offers a one-year subscription plan and want…

    Python 1

  4. Incremental_ETL_Pipeline Incremental_ETL_Pipeline Public

    The primary objective of this project is to develop an incremental Extract, Transform, Load (ETL) solution using AWS CDK for the analysis of cryptocurrency data.

    Python