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.

• 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.

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

• Electronic Medical Records data pipeline:
  Electronic Medical Records Ingestion, Analytics features and Dashboard.

• 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].

• 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

• 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.

• Email: joseph.higaki@gmail.com
• LinkedIn: linkedin.com/in/josephhigaki