Gregory Pandolfo

I’m a Lead Data Engineer with 15+ years of experience building scalable, cloud-native data platforms that deliver real business impact across Fortune 500 giants, aerospace contractors, and the telecom sector. From leading MDM platform architecture at Boeing to modernizing 5G infrastructure at EchoStar, my work has saved millions in costs, cut processing times by 80%, and enabled real-time analytics for mission-critical operations. I specialize in end-to-end pipeline automation, distributed systems, and metadata governance. I use tools like Airflow, Kafka, dbt, Harness, and GitLab CI/CD to build robust, SOC2-aligned enterprise data environments. My recent achievements include reducing cloud spend through AWS EKS with an event driven services architecture powered with Snowflake and BPI, and driving savings with CI/CD and testing automation in delivery pipelines for TQA and data validation and verification workflows, and delivering 99.99% uptime across systems and APIs enabling the buildout and upgrades to 24,000+ 5G sites. I’ve led enterprise database, data warehouse and data lake builds across AWS, GCP, and Azure, engineered microservices in Java, automated infrastructure with platform engineering using Maven, Helm, Git, Harness, Gitlab, packaging with Artifactory and Docker, and optimized performance in PostgreSQL, Oracle, Redshift, BigQuery, and MariaDB environments. My DevOps toolkit also includes Jenkins, SonarQube, and advanced monitoring of CI/CD pipelines. Fluent in Python, SQL, Java, and C++, I architect cloud-native solutions that blend engineering excellence with strategic value, enabling better decision-making, analytics enablement, and risk reduction at scale. Whether it's satellite telemetry or executive dashboards, my work is always grounded in measurable outcomes, scalable systems, and strong cross-functional leadership. Let’s connect if you're seeking a builder who thrives at the intersection of architecture, automation, and business impact.