Spearheaded the development & execution of a robust data strategy to mitigate the impact of 3rd-party cookie deprecation. Collaborated cross-functionally with stakeholders to devise innovative solutions, fortifying data acquisition, analysis, & targeting capabilities, ensuring sustained business growth & competitiveness.
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Orchestrated & mentored a high performing team of 10 engineers, guiding them through the migration of real time data streams totalling 60 billion daily transactions to the cloud, ensuring data integrity, scalability, & security.
Directed the end-to-end development & deployment of a comprehensive data processing tool, resulting in streamlined data workflows company wide & decreasing operational cost by $100,000 annually.
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Adept at leading cross-functional teams, fostering collaboration, and mentoring junior team members. - Proven ability to oversee end-to-end data engineering projects, ensuring adherence to best practices, project timelines, and successful delivery of high-quality solutions.
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Proficient in crafting complex and efficient data architectures to handle large-scale data processing, storage, and retrieval. Expertise in designing solutions for optimal performance, scalability, and maintainability.
Developed & maintain a data pipeline status application, built of microservices in AWS, that assures the quality of 40 billion data records each day & coordinates the downstream processing of that data in realtime
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Manage big data applications & architectures which orchestrate the entire data lifecycle including Kafka, Hadoop, AWS services, relational SQL & NoSQL databases, & Airflow
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Rearchitected an ancient data model, built for a single dataset, to manage more than 10 datasets, increasing data processing efficiency by over 20%
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Transitioned multiple data applications into AWS, decreasing monthly storage & processing costs by $50,000
