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rodrigosvv/README.md
  • 🌟I have a strong interest in constructing reliable data pipelines and mastering the techniques of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). Through my experience with technologies such as Airflow, Docker, dbt, Snowflake, BigQuery, AWS S3, and Power BI, I feel equipped to handle complex data challenges.
  • 💻 During my free time, I enjoy coding, particularly working on data projects and refining my skills in data engineering. I also like to stay updated on the latest trends in cloud computing, with a focus on AWS, GCP, and Azure.
  • 📊 I am currently aiming to transition into a Data Engineer role or explore opportunities within the broader data landscape. I am dedicated to keeping up with emerging technologies and methodologies, always seeking to expand my knowledge and skill set.

Tech Stack:

Python Pandas Numpy Google Cloud Platform AWS Apache Spark Apache Airflow Apache Hive Apache Hadoop SQLServer PostgreSQL SQLite dbt Powerbi Docker Snowflake Git C Bash YAML R Excel SAP Notion

Connect with me:

salazarvegarodrigo rodrigosalazarvega

Pinned

  1. forex_data_pipeline_project forex_data_pipeline_project Public

    Proyecto realizado con Airflow que interactúa con distintos operators. Se utilizó además Docker, Spark, Hue, HiveQL, Bash y Slack.

    Shell

  2. db-snowflake-elt-pipeline db-snowflake-elt-pipeline Public

    Proyecto de ELT (Extract, Load, Transform) que utiliza dbt, Snowflake y Airflow. Se usó el TPC-H dataset proporcionado por Snowflake (Sample Data)

    Python

  3. aws-snowflake-astrosdk-airflow-data-pipeline-project aws-snowflake-astrosdk-airflow-data-pipeline-project Public

    Proyecto de Data pipeline que interactúa con AWS (S3) y Snowflake usando Astro SDK. Se usaron funciones de Transform, Load, Merge y Join en las tablas y datos mediante Astro Python SDK decorators.

    Python