Cloud Data Lake 2.0
I explored how Kaizen Gaming redesigned its cloud data architecture through scalable Data Landing Zones, automated infrastructure, FinOps, centralized governance, phased migration, Delta Sharing, and Databricks Asset Bundles.
I lead engineering teams and build the systems, practices, and technical direction behind real-time big data analytics, machine learning, and AI. My work connects technology with business goals while improving developer experience, engineering excellence, and data-driven decision-making. I also mentor engineering leaders, speak at conferences, write about leadership, and build communities for people growing in technology.
Senior Big Data Technology Manager at Kaizen Gaming
I explored how Kaizen Gaming redesigned its cloud data architecture through scalable Data Landing Zones, automated infrastructure, FinOps, centralized governance, phased migration, Delta Sharing, and Databricks Asset Bundles.
I built a Java stream-processing project using Storm, Kafka, and Espertech, with Avro serialization and a KafkaSpout connected to a schema registry.
I explored dynamic row- and column-level security for sensitive data in Databricks, including identity-based policies, permission groups, organizational hierarchies, encrypted data, and adaptive dashboards.
I wrote about how lessons from sports can inform engineering leadership, including how some friction can signal team adaptation and growth.
I shared the story of creating and developing LeadDev Athens as an engineering leadership community.
I explore how lessons from sports can inform engineering leadership, including how some friction can signal team adaptation and growth.
I share how LeadDev Athens was created and developed as an engineering leadership community.
I spoke about redesigning Kaizen Gaming's cloud data architecture through scalable landing zones, automated infrastructure, FinOps, governance, phased migration, Delta Sharing, and Databricks Asset Bundles.
I spoke about dynamic row- and column-level security for sensitive data in Databricks and how identity, permissions, encryption, and organizational hierarchies can shape what viewers see.