Open to opportunities

James Chang

@jameschang

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Senior full-stack and data engineer driving scalable enterprise solutions.

Austria

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What I'm looking for

I seek senior engineering roles building scalable data and backend systems in collaborative, growth-focused teams where I can drive performance, governance, and automation while mentoring engineers.

I am a results-driven senior engineer with 9+ years of experience across backend, full-stack, and data engineering in consulting and enterprise cloud-native environments. I design scalable data platforms, optimize ETL and pipeline performance, and implement governance frameworks that deliver measurable business impact.

I have led cross-functional teams to integrate AI/ML, reduce system inefficiencies, and improve observability and reliability while mentoring junior engineers. My achievements include cutting pipeline execution times, improving reporting performance, automating containerized deployments, and enhancing data quality and metadata management for enterprise clients.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Engineer

Current

Hillside IT Consulting Group

Aug 2022 - Present (3 years 2 months)

Designed and maintained enterprise backend systems and data pipelines using Python, C#, SQL, and Azure, cutting pipeline execution time by 35% and reducing downtime incidents by 40% while integrating AI/ML modules for improved automation.

Python C++SQL Azure Databricks API Development Data Governance Monitoring NoSQL

Senior Backend Engineer

Beyondsoft

Mar 2020 - Aug 2022 (2 years 5 months)

Engineered ETL workflows, BI solutions, and data governance frameworks in Python and SQL, improving reporting performance by 50% and reducing incident detection time by 45% while automating containerized deployments.

Python SQL ETL Data Governance Kubernetes Docker BIツール Monitoring Data Warehouse

Full Stack Engineer

CNT Management Consulting

Jun 2016 - Feb 2020 (3 years 8 months)

Built and deployed enterprise applications and ETL pipelines with Python, PHP, JavaScript, and SQL, reducing manual reporting time by 40% and achieving 99.9% data accuracy through integrity checks and role-based access systems.