Open to opportunities

Eric Zhang

@ericzhang1

Senior Data & AI Engineer delivering enterprise data platforms and production-grade, explainable AI systems in regulated environments.

New Zealand

Message

What I'm looking for

I’m looking for hands-on technical leadership where I can deliver enterprise data platforms and production AI that’s explainable, governed, and privacy-by-design. I want to own end-to-end delivery—POC to MVP to production—balancing maintainability, security, cost, and long-term impact.

I’m a Senior Data & AI Engineer with 15+ years of enterprise Data Engineering and cloud platform experience, including hands-on delivery of production-grade AI systems. I focus on practical, explainable AI that’s trusted by the business, especially in data-quality, governance, and regulated environments.

Currently, I work in a consultancy and product environment as a hands-on technical lead and product owner across AI-powered platforms and complex data ecosystems. I regularly make real-world trade-offs across technology choice, delivery timelines, team capability, cost, and long-term maintainability—while keeping privacy-by-design and strong data security at the center.

Notably, I’ve led enterprise-scale Holiday Act Remediation data platforms on Azure, building robust data validation, reconciliation, and audit pipelines to make remediation outcomes explainable and defensible. I also productised an AI-powered Claims Portal using LLM-based agents on Google Gemini and Vertex AI (GCP), with human-in-the-loop workflows and PII compliance. Earlier, I helped design an AWS Lakehouse (S3 + Apache Iceberg + Redshift) and built scalable ingestion/ELT pipelines, and I previously delivered large-scale telecom BI and billing reconciliation systems at Huawei.

Experience

Work history, roles, and key accomplishments

Current

Senior Consultant – Data & AI

Current

Mero / CDP Group

Jan 2019 - Present (7 years 6 months)

Hands-on technical lead and delivery owner delivering enterprise data platforms and AI solutions in long-running remediation programmes, commercial products, and client engagements. Focuses on data architecture, data quality/governance, auditability, privacy/PII controls, and practical explainable AI trade-offs.

Enterprise Data Engineering Data Architecture Data Quality Data Governance Data Security Explainable AI Privacy By Design PII Compliance Azure AWS GCP SQL Python Azure SQL Server Azure Data Factory Azure Synapse BigQuery

Senior Data Engineer

Huawei Technologies Co., Ltd

Jan 2011 - Jan 2019 (8 years)

Worked on large-scale telecom CRM Online Charging & Billing systems and associated Business Intelligence platforms, enabling auditable revenue reporting and analytics. Designed and developed BI data pipelines for billing reconciliation, order auditing, and revenue assurance, supporting stability and accuracy for revenue integrity and compliance use cases.

SQL Data Pipelines Charge Reconciliation Order Auditing Revenue Assurance Fraud Detection Audit

Product Owner & Senior Data & AI Eng

Mero

Acted as Product Owner and core engineer for the Mero AI-Powered Claims Portal, leading end-to-end design and hands-on delivery of an AI-powered claims processing platform. Implemented Gemini/Vertex AI-based LLM agents for document extraction and cross-validation, added automated handoff workflows and human-in-the-loop review, and designed privacy-by-design/PII-compliant, auditable production syst

Gemini Vertex AI AI Agents GCP Documentation Extraction Cross Validation Human In The Loop PII Compliance Encryption

Lead Data Engineer

Ballance Agri-Nutrients

Participated in architecture design, review, and hands-on implementation of a next-generation AWS Lakehouse platform. Designed an S3 + Apache Iceberg lakehouse architecture with AWS Glue Data Catalog and Amazon Redshift, and built scalable ingestion and ELT pipelines using Redshift and dbt with governance-focused data quality, schema management, and maintainability.

S3 Apache Iceberg Glue Data Catalog Amazon Redshift DBT Fivetran Dbt Cloud ELT Data Ingestion Data Governance Partitioning CI CD

Senior Data Engineer & Core Model Dev

Mero / CDP Group

Served as a core developer and technical lead for Holiday Act remediation calculation models, designing Azure-based data platforms to support accurate, explainable and defensible remediation outcomes. Built validation, reconciliation, and audit pipelines and worked with business, payroll specialists, and legal advisors to align technical models to regulatory interpretations with long-term maintain

Azure SQL Server Azure Data Factory Data Ingestion data transformation Analytics Data Validation Data Reconciliation Audit Pipelines Regulatory Compliance Data Modeling SQL

Lead AI Engineer

Evolve

Led the design and delivery of an AI-driven compliance automation solution for Early Learning/Childcare requirements under the Childcare Act. Built multiple Gemini/Vertex AI LLM agents to extract, normalize, and validate information across 13 document types, integrated outputs into operational systems, and implemented secure PII handling with reporting for oversight and regulatory audits.