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Michael Wong

@michaelwong

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Senior Data Engineer specializing in scalable ETL, data warehousing, and BI solutions.

United States

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What I'm looking for

I am seeking a role where I can build scalable ETL and data warehouse solutions, collaborate with stakeholders, mentor teams, and drive BI/AI initiatives in an innovative, data-driven company.

I am a Senior Data Engineer with 8+ years turning raw data into reliable, actionable insights. I design and maintain ETL pipelines, data models, and warehouses while building dashboards and automated pipelines that support strategic business decisions and improve operational efficiency.

I have led data initiatives at Amazon and Tenna, mentoring junior engineers and collaborating directly with stakeholders to deliver scalable, performant solutions using Snowflake, Redshift, Airflow, Spark, dbt, and AWS/GCP tooling. I am eager to contribute to BI- and AI-driven projects that increase clarity, trust, and business value.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Amazon

Apr 2024 - May 2025 (1 year 1 month)

Designed and improved dashboards, ETL pipelines, and data warehouses to deliver timely insights, improved data quality, and scalable integrations; mentored junior engineers and partnered with stakeholders to drive data strategy.

Python SQL ETL Data Modeling Data Warehousing Dashboards AWS Data Quality Mentoring

Data Engineer II

Amazon

Sep 2020 - Apr 2024 (3 years 7 months)

Built and maintained real-time dashboards and data pipelines for a healthcare project, ensured accurate data flow and storage, and translated business requirements into reliable analytics solutions.

Python SQL ETL Data Pipelines Dashboards Data Modeling AWS Data Validation

Data Engineer I

Amazon

Aug 2018 - Sep 2020 (2 years 1 month)

Implemented automated data pipelines and centralized reporting for an e-commerce project, reducing manual work and enabling timely manager-level performance tracking.

Python SQL ETL Data Pipelines Dashboards Data Integration Reporting AWS Performance Tracking

Data Engineer

Tenna

Aug 2016 - May 2018 (1 year 9 months)

Built automated systems and dashboards to replace manual Excel workflows for equipment tracking, consolidating data sources and delivering actionable insights for project managers.

ETL Data Integration Dashboards SQL Automation)Data Consolidation Reporting Data Insights Excel Migration

Education

Degrees, certifications, and relevant coursework

University of Texas at Arlington

Bachelor of Science, Data Engineering / Computer Science

2012 - 2016

Grade: GPA 3.7

Activities and societies: Built data models, dashboards, and reports using Looker, AWS services, and SQL; hands-on experience with Snowflake, Azure Logic Apps, Azure Data Factory, and Boomi.

Completed a Bachelor of Science with coursework and hands-on projects in data warehousing, ETL processes, and data modeling, building data pipelines and dashboards using Snowflake, Azure tools, AWS, and SQL.