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joseph-higaki/README.md

👨🏾‍💻 Joseph Higaki

Software Engineering Manager | Data Delivery Manager | Data Engineering Enthusiast

Welcome to my GitHub!

I bring over a decade of experience leading software development projects across diverse industries like IT services, digital banking, and investment management. I enjoy bridging technology and business value through project leadership, data analytics, and modern engineering practices.

🚀 Professional Highlights

  • Leadership: Proven track record in managing Agile teams, from backend and data engineers to cross-functional teams, across geographies and timezones.
  • Technical Expertise: Started as a .NET developer, lately I've been gathering hands-on experience in building data pipelines, and dashboards using python, docker, airflow, dbt, Spark, Power BI, and Looker Studio.
  • Industry Impact: Delivered scalable enterprise-class applications, modernized data sources, and improved process automation metrics for global organizations.

📊 Data Engineering Interest

Public repos from data engineering self-driven projects and courses.

🔥 Recent Projects

  • Spotify Insights:
    Explore data insights inspired by Spotify Wrapped using Jupyter Notebook.

  • Patient Conditions and Weather:
    A data extraction and analysis project connecting weather patterns to patient conditions using synthetic data.

  • Data Engineering Zoomcamp:
    Homework and notes from the comprehensive DataTalks.Club Data Engineering Zoomcamp.

  • Voice Analysis:
    Playful exploration of voice data (pitch / amplitude) inspired by a voice education course where I recorded myself and some classmates.

  • Chrome Tab Group Remover:
    Automates the tedious task of deleting unwanted Chrome tab groups using Python, this is me being: [lazy | engineer].

🛠 Tools & Technologies

  • Programming Languages: Python, SQL
  • Tools / Tech Stacks: airflow, dbt, docker, Power BI, AWS, GCP,
  • Project Management: Jira, Confluence, Miro
  • Certifications: AWS Cloud Practitioner, Azure Data Fundamentals, Certified Agile Leadership I

🌱 Learning Goals

  • Deepen expertise in data engineering concepts like ELT pipelines, dimensional data modeling, cloud-native tools, near-real-time batch, and streaming.
  • Continue developing impactful projects that utilize and curate data to deliver value in real-world applications.

📫 Let's Connect!

Pinned Loading

  1. Understanding my Spotify Listening H... Understanding my Spotify Listening Habits - Part 0
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  2. patient_conditions_weather patient_conditions_weather Public

    Data Extraction and Analysis for Clinical conditions along with weather information at the timeof diagnosis

    Dockerfile

  3. spotify_insights spotify_insights Public

    Inspired in spotify-warped, spotify data insights with weather awareness from stream time

    Jupyter Notebook

  4. voice-analysis voice-analysis Public

    Took a voice education course. These are notebooks that analyze and plot pitch and volume

    Jupyter Notebook

  5. etl_adventureworks_sales_purchases_datamart etl_adventureworks_sales_purchases_datamart Public

    ETL process using Pentaho Data Integration (Kettle), for Sales and Purchases Datamarts from Adventureworks, as the final project from the Data Management course from the Big Data & Analytics Master…

    TSQL 5 5

  6. music-hit-decorate-datasets music-hit-decorate-datasets Public

    Python console program that fetches data from Instagram and Music Story. It will add artists' social media information into the datasets that we will use to predict a song's popularity. This is a g…