Helping teams migrate dozens of pipelines and petabytes of data to support product improvements in latency, accuracy and cost.Improving developer platform with the goal of supporting an increase in product deployments from weekly to multiple times per day without violating SLAs.Key technologies: AWS, Kubernetes, Apache Kafka, Redpanda, Apache Pinot, Startree, Apache Spark, Delta Lake, Databricks, S3

Founding member of Cosm's Platform Team, dedicated to improving developer experience, reliability and performance of Cosm's core cloud and on premise infrastructure.Designed and implemented a custom infrastructure as code framework with Pulumi, which allowed for granular control of cloud and on premise resources.Built Cosm's network and Kubernetes infrastructure, along with other platform engineers. Responsible for integration of EKS and supporting tools, notably Cilium and Flux.Extended platform Kubernetes clusters to support data infrastructure, including integration between Redpanda, Strimzi and Debezium for change data capture.Led cross functional integration efforts between several departments, including finance and venue operations for complete data integration with Databricks.Drove Cosm's CPRA & GDPR compliance efforts through integration with Transcend, Cosm's website, mobile app and backend.Managed the data team, including onboarding and mentoring new engineers, and helped drive product requirements and delivery along with stakeholders in other departments.Key technologies: AWS, Kubernetes, Cilium, Flux, Pulumi, Redpanda, Strimzi, Debezium, Apache Spark, Delta Lake, Databricks, S3, Transcend

Designed a Data Lakehouse to centralize, manage and deliver Cosm's disparate venue and business data. Critical data sources were delivered via real time streaming and transformed using incremental processing.Key technologies: AWS, Kubernetes, Flux, Debezium, Redpanda, Apache Spark, Delta Lake, Databricks, S3

Engineered next generation streaming data architecture to meet the analytics product SLA by reducing metric arrival latency from hours to minutes, while increasing data volume 100% and reducing pipeline cost 20%.Optimized data warehousing infrastructure, increasing typical query performance 20% and reducing cost 40%.Key technologies: AWS, Apache Spark, Delta Lake, Databricks, Apache Kafka, Play Framework, Snowflake, S3

Designed and built a shared services data platform, greatly increasing the speed at which new acquisitions could be onboarded, a critical metric of restoring companies to profitability.Planned and executed retail software platform migration across 800+ locations, resulting in an 80% decrease in certain day to day management tasks compared to the previous solution.Key technologies: AWS, DigitalOcean, Kubernetes, Apache Spark, Snowflake, S3

Architected and built FIJI Water's first automated data pipeline and business intelligence platform, saving 600+ hours each week on ad hoc depletions reporting and competitive set analysis. Led trainings for the nationwide sales team, focused on self service business intelligence, allowing representatives on demand access to verified reports and analysis across desktop and mobile environments.Key technologies: Azure Blob Storage, Apache Spark, SQL Server, Power BI

Supported iOS app production and deployment process using Git and Jenkins, developed microservice utilizing Scala, Akka and MySQL for analysis of Mailgun email campaigns.