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@christopherrose1
Experienced Data Engineer with a passion for scalable data solutions.
As a Senior Data Engineer with over 10 years of experience, I have successfully designed and governed scalable, modern data platforms across various domains including fintech, eCommerce, and healthcare. My expertise lies in architecting cloud-native, enterprise-grade solutions that leverage technologies such as Databricks, Delta Lake, and Apache Spark. I am adept at implementing data lakehouse and data mesh architectures, driving data democratization through self-service analytics, and ensuring data governance and security best practices.
Throughout my career, I have built high-performance systems that enable analytics and operational decision-making at scale. My recent role at Walmart involved designing a Data Mesh architecture for warehouse operations, which enhanced scalability and decentralized ownership. I have a proven track record of aligning data architecture with business objectives and leading cross-functional teams to elevate data maturity across the enterprise. I am passionate about leveraging data to drive insights and improve decision-making processes.
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Work history, roles, and key accomplishments
Walmart
Jul 2023 - Present (2 years 4 months)
Designed and implemented a Data Mesh architecture for warehouse operations, enabling decentralized ownership and scalability by developing source-aligned and consumer-aligned data products. Built reusable data products on Azure Databricks with Delta Lake, following Medallion Architecture to support modular, scalable pipelines for both real-time and batch use cases.
Plaid
Aug 2021 - Jul 2023 (1 year 11 months)
Designed and delivered a scalable, privacy-centric data ingestion framework capable of processing billions of financial transactions weekly, supporting real-time data integration with major financial institutions. Built and maintained a real-time fraud detection infrastructure using technologies including Kafka, Spark Streaming, and Snowflake, resulting in a 65% reduction in average fraud alert la
Optum (UnitedHealth Group)
Jul 2020 - Jul 2021 (1 year)
Designed, built, and maintained secure data pipelines capable of processing over 100 million rows of protected health information (PHI) daily, enabling critical risk analytics and care gap identification initiatives across Medicare and Medicaid populations. Automated the ingestion and transformation of large-scale healthcare datasets, including claims and electronic health records (EHR), using Azu
Slalom
Apr 2018 - Jun 2020 (2 years 2 months)
Led the architecture and implementation of cloud-native data platforms for large enterprise clients across healthcare, finance, and digital services, integrating complex, high-volume data sources and delivering scalable solutions on AWS, Azure, and GCP. Built modern ELT data pipelines using DBT, AWS Glue, and Redshift to drive faster insights for clients, including a digital health startup where t
Stripe
Jun 2015 - Apr 2018 (2 years 10 months)
Designed and operated a high-volume payments data lake leveraging Redshift and Amazon S3 to process and store transaction-level data supporting compliance, financial reporting, and growth analytics. Developed and maintained a suite of reusable DBT models and interactive Looker dashboards, promoting the adoption of self-service analytics across departments and increasing data accessibility for non-
Degrees, certifications, and relevant coursework
Bachelor's Degree, Unknown
2011 - 2015
Studied at the University of Miami, completing a Bachelor's Degree. The program provided a comprehensive education, preparing for a career in data engineering.
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