James Lynn
@jameslynn
Senior Data Engineer with 10+ years of experience in data solutions.
What I'm looking for
As a Senior Data Engineer with over a decade of experience, I specialize in building scalable, production-grade data infrastructure and analytics pipelines. My journey has been marked by a proven ability to reduce data latency, optimize cloud costs, and deliver impactful data solutions that drive decision-making across various teams, including product, marketing, and finance.
At Nike, I played a pivotal role in supporting the Digital Commerce Analytics Platform, where I rebuilt customer engagement pipelines and migrated our ETL stack to modular Airflow DAGs. This not only reduced maintenance by 60% but also improved uptime and achieved significant cloud cost savings. My efforts contributed to enabling faster, data-backed decisions that resulted in over $5 million in marketing optimization and avoided stockout losses of $3 million.
Previously, at Amazon, I engineered real-time order event processing pipelines that ensured accurate inventory updates during peak times, significantly reducing fulfillment errors. My work on the Retail Supply Chain Insights Platform delivered infrastructure capable of scaling with over $1 billion in monthly order volume. I am passionate about leveraging data to drive business outcomes and continuously seek opportunities to innovate and improve data systems.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Nike Inc.
Jan 2021 - Jan 2025 (4 years)
As a Senior Data Engineer at Nike, I supported the Digital Commerce Analytics Platform, enhancing real-time decision-making and customer engagement. I migrated the ETL stack to modular Airflow DAGs, refactored the platform to an AWS-native stack, and implemented data quality tools, leading to significant cost savings and improved analytics efficiency.
Senior Data Engineer
Amazon
Apr 2014 - Oct 2020 (6 years 6 months)
At Amazon, I worked on the Retail Supply Chain Insights Platform, developing real-time data pipelines using Kafka and Spark. I re-architected ingestion processes to improve analytics performance and maintained ETL pipelines for dashboards used by thousands of sellers, ensuring data accuracy and compliance.
Education
Degrees, certifications, and relevant coursework
University of Washington
Bachelor of Science, Computer Science
2009 - 2013
Completed a Bachelor of Science in Computer Science with a minor in Applied Statistics, focusing on software development, data structures, algorithms, and statistical analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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