Senior Data Engineer specializing in Azure Lakehouse, Databricks/Spark, and Snowflake
Richardson, TXSenior Data Engineer6 years experienceSeniorConsultingFinancial ServicesHealthcare
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About
Data engineer/platform builder with experience across PwC and Liberty Mutual delivering high-volume, production-grade pipelines and real-time data services. Has owned end-to-end streaming + batch architectures on AWS and Azure, including web scraping systems, with quantified reliability gains (99.9% availability, 90%+ error reduction, 30% latency reduction) and strong observability/CI-CD practices.
Experience
Senior Data EngineerPwC
Senior Data EngineerVizient Inc
Azure Data EngineerBank of the West
Data EngineerLiberty Mutual Insurance
Education
University of Central Missourimaster, Computer Science (2022)
Key Strengths
Owned end-to-end production financial data pipeline processing several TB/day
Implemented automated data validation and anomaly alerting; reduced data errors by 90%+
Achieved 99.9%+ pipeline availability via orchestration and proactive monitoring
Reduced processing latency by 30% through optimized transformations and Redshift SQL
Cut manual intervention by 70% using automated error handling and retries
Designed large-scale web scraping system with Airflow scheduling/retries, anti-bot measures, and backfill mechanisms
Shipped real-time data service (REST + WebSockets) with caching, async concurrency, monitoring, and API versioning
Led ambiguous early-stage build on Azure (Event Hubs/Databricks/Snowflake) with CI/CD, observability, and incident process
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