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jackptoke/README.md

Hi there 👋

Who am I?

Data and IT professional with a Graduate Certificate in Data Analytics (QUT), Databricks Certified Data Engineer Associate, and hands-on experience across enterprise application support, systems integration, and business reporting. At AME Systems, integrated Siemens Capital with enterprise systems, automated data synchronisation in Python and SQL, and delivered custom reporting for Sales and Engineering. Currently building AI and data engineering solutions for regional businesses as an independent consultant. Skilled in SQL, Python, Spark, Databricks, dbt and Airflow, with reporting experience in Tableau, Plotly Dash and Streamlit. Four years of multi-site program coordination in Southeast Burma; bilingual Karen–English communicator, comfortable with stakeholders at all technical levels.

Career history

AI/Data Engineer (Freelance)

Jan 2026 - Present (4 months)

  • Build an AI telephone receptionist and lead-qualification solution for small and medium-sized businesses.
  • Help small and regional businesses take their first step in AI adoption, from scoping to deployment.
  • Build AI chatbots, automation workflows and live reporting systems tailored to real operational needs.

ICT Application Officer at AME Systems

Nov 2022 - Feb 2025 (2 years 4 months)

  • Integrated Siemens Capital wiring harness design software with existing enterprise systems via webhooks and SOAP web services, enabling seamless data flow for the Engineering department.
  • Automated component and engineering design data synchronisation using Python and SQL, eliminating manual update processes and reducing costly data inconsistencies.
  • Designed and delivered custom reports for Sales, Engineering, and cross-functional teams to drive data-informed business decisions.
  • Built a label printing application using .NET MAUI and an ASP.NET Core Minimal API backend, supporting Warehouse and Dispatch operations.
  • Developed native Android applications in Kotlin and Jetpack Compose for Zebra barcode scanner hardware, replacing the earlier .NET MAUI approach to better support industrial device requirements and reduce human error in warehouse picking.

Computer Operator at Hazeldene’s Chicken Farm

Oct 2020 - May 2022 (1 year 7 months)

  • Ensure smooth operation of computerised packaging machinery and label printers
  • Maintain the packaging machinery and troubleshoot when necessary
  • Keeping records of daily production and breakdown

School Coordinator at Education Opportunity Foundation (Thai - Burmese Border)

May 2015 – Jun 2019

  • Coordinated the development and rollout of an English Teacher Toolkit adopted across 20 schools to lift student confidence and English fluency.
  • Designed and delivered annual teacher training programs for 76 teachers across remote Southeast Burma, strengthening instructional practice and modernising classroom methodology.
  • Administered end-to-end payroll for all 20 schools, including in-person distribution and verification against service records to ensure accuracy and accountability.

Education

Graduate Certificate of Information Technology Practice (Data Analytics) | Queensland University of Technology | Completed December 2025

Web Development Bootcamp | Coder Academy | Completed Feb 2020

Bachelor of Science (Computer Science) | Victoria University | Completed 2010

Certifications

Databricks Certified Data Engineer Associate | Databricks Jul 2026

  • Lakehouse architecture and Delta Lake
  • ELT with Spark SQL and PySpark
  • Incremental ingestion with Auto Loader
  • Lakeflow Declarative Pipelines
  • Job orchestration with Databricks Workflows
  • Data governance with Unity Catalog

Data Engineering Bootcamp | Le Wagon June 2025

  • ETL workflows with Apache Airflow, data pipelines with dbt, PySpark for large-scale transformations, data streaming with Pub/Sub and Apache Beam.
  • Data warehousing with BigQuery, Postgres, Fivetran & Airbyte; Docker Compose for local environment management.

Data Engineering - RMIT(Apr 2025)

  • Implement and optimise ETL workflows using Airflow
  • Build and manage data pipelines with DBT, with a focus on modularity, testing, and version control
  • Combine Airflow and DBT together
  • Leverage PySpark for transforming massive amounts of data
  • Implement data streaming solutions with Pub/Sub
  • Transform streaming data in real-time with Apache Beam
  • Create a data warehouse with BigQuery and set up access for your team

Pinned Loading

  1. transport-victoria-analysis transport-victoria-analysis Public

    Jupyter Notebook

  2. data-carpentry-airflow-dbt data-carpentry-airflow-dbt Public

    Python

  3. databricks_citibike_project databricks_citibike_project Public

    Python

  4. dbt-dagster-project dbt-dagster-project Public

    Python