Teams at Peregrine Technologies, Inc.

Lead design and execution of the internal analytics stack: scale the data warehouse, build dbt ETL pipelines, design reusable data models, create dashboards and forecasts, set data quality checks, and partner with Product, Sales, Finance, and Operations to define KPIs and automate reporting.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Lead product deployments for public-sector customers, identify high-impact workflows, design data models and pipelines, write code to integrate data, build executive relationships, and deliver mission-critical solutions with speed and quality.