I'm Jin Wang, a data engineer with a strong track record in designing, building, and optimizing scalable data infrastructure across AWS and Azure. I thrive on solving complex data problems and delivering robust, high-quality data systems. I'm proficient in SQL, Python, and big data technologies, with expertise in developing automated ETL workflows, data pipelines, and analytics solutions. I'm detail-oriented and passionate about automation, performance optimization, and enabling data-driven decision-making.

Jin Wang

I'm Jin Wang, a data engineer with a strong track record in designing, building, and optimizing scalable data infrastructure across AWS and Azure. I thrive on solving complex data problems and delivering robust, high-quality data systems. I'm proficient in SQL, Python, and big data technologies, with expertise in developing automated ETL workflows, data pipelines, and analytics solutions. I'm detail-oriented and passionate about automation, performance optimization, and enabling data-driven decision-making.

Available to hire

I’m Jin Wang, a data engineer with a strong track record in designing, building, and optimizing scalable data infrastructure across AWS and Azure. I thrive on solving complex data problems and delivering robust, high-quality data systems.
I’m proficient in SQL, Python, and big data technologies, with expertise in developing automated ETL workflows, data pipelines, and analytics solutions. I’m detail-oriented and passionate about automation, performance optimization, and enabling data-driven decision-making.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Language

English
Fluent

Work Experience

Data Engineer at North Bridge Digital
June 1, 2024 - Present
Contributed to the architecture of a new AWS-based Data Lakehouse using the Medallion (Bronze–Silver–Gold) architecture. Built and optimized batch ingestion pipelines, automated workflows with Apache Airflow to integrate multiple CRM databases into the Data Lake landing zone. Designed and implemented a data quality and validation framework to reconcile data between landing and conformed layers, reducing data gaps by over 80%. Implemented CI/CD pipelines using Terraform and Azure DevOps for automated infrastructure provisioning and deployment. Collaborated with sales and finance teams to define business logic, KPIs, and visualization requirements, improving decision-making and enabling a 15% increase in sales efficiency.

Education

Bachelor of Data Science at University of Melbourne
March 1, 2021 - November 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics