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davidgonzalez95/README.md

Hi, I'm David Gonzalez

About Me

I am a passionate Data Engineer with over 3 years of experience turning raw data into meaningful insights. I work with modern tools like Azure Data Factory, Databricks, Azure Synapse Analytics, Delta Lake, and the Data Lakehouse to build efficient data pipelines and solutions in the cloud. I’m also a Databricks Certified Spark Developer and a Microsoft Certified Azure Data Engineer. I love learning and continuously improving my skills to stay up-to-date with the latest in the field.

Projects

  • Azure | End-to-End-Data-Engineering | CarDealership:

    Tools Used: Azure SQL Server | Azure Data Factory | Databricks | Power BI

  • Azure | End-to-End Data Engineering | Netflix data streaming: This project builds a scalable Azure Data Engineering solution for data ingestion, transformation, and analytics. It uses Azure Data Factory for data ingestion, Databricks for incremental data ingestion, and Databricks with Delta Live Tables is used for transformation, and Azure Synapse Analytics is used for the data warehouse, with Power BI for reporting.

    Tools Used: Azure Data Factory | Databricks (Unity Catalog | Autoloader | Workflows | Delta live tables) | Azure Synapse Analytics | Power BI

  • Azure | Data Factory Orchestration | Cafe Company: This project automates ETL for sales data from subsidiaries using Azure Data Factory. Data is ingested from SharePoint (simulated via GitHub), processed, and stored in Azure Data Lake for analysis and reporting.

    Tools Used: Azure Data Factory | Automated Triggers | Monitoring & Notifications

  • Azure | End-to-End Data Engineering | Adventure Works: This project aims to build an end-to-end Azure Data Engineering solution, covering data ingestion, transformation, and analytics, ultimately connecting to Power BI for visualization and reporting.

    Tools Used: Azure Data Factory | Azure Databricks | Azure Synapse Analytics | Power BI

Specialize In:

Specialization Description Badge
Cloud Platforms Azure (Data Factory, Databricks, Synapse Analytics) azure
Programming Languages Python, Spark, Databricks python spark databricks
Databases SQL, MySQL, PostgreSQL mysql postgresql
Data Tools Pandas, Scikit-learn, TensorFlow, Power BI pandas scikit_learn tensorflow powerbi
Other ETL Processes, Data Modeling, Data Warehousing

Certifications

  • AWS Data Engineer Associate | DEA-C01 | February 2025
  • Databricks Data Engineer Associate | February 2025
  • Azure Data Engineer Associate | DP-203 | January 2025
  • Machine Learning with Python | IBM | April 2024
  • Data Science Professional Certificate | IBM | February 2023
  • Databases and SQL for Data Science | IBM | February 2023
  • Data Analytics Certificate | Google | September 2022

What I'm Learning

  • Advanced Azure Services: Delving deeper into Azure's comprehensive suite of data services.
  • Improved AWS knowledge: Doing the Amazon Web Service Certificate.
  • Big Data: Exploring Hadoop, Spark, and other big data technologies.
  • Machine Learning: Integrating AI and machine learning into data pipelines.

Goals

  • Contribute to impactful open-source projects.
  • Continuously enhance my cloud and data engineering skills.
  • Build a network with professionals and learn from their experiences.

Get in Touch

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  1. Azure_Project_01_End-to-End-Data-Engineering_AdventureWorks Azure_Project_01_End-to-End-Data-Engineering_AdventureWorks Public

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  2. Azure_Project-02_Data-Factory-Orchestration_CafeCompany Azure_Project-02_Data-Factory-Orchestration_CafeCompany Public

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  3. Azure_Project_03_End-to-End-Data-Engineering_NetflixDatastreaming Azure_Project_03_End-to-End-Data-Engineering_NetflixDatastreaming Public

    Jupyter Notebook 1

  4. Azure_Project_04_End-to-End-Data-Engineering_CarDealership Azure_Project_04_End-to-End-Data-Engineering_CarDealership Public

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