Teams at IET Inc.

Design, develop, and integrate scalable Kafka-based data products and event-driven pipelines. Define event models, data contracts, topic structures, and best practices. Build automated data operations (develop, deploy, validate, monitor). Collaborate with architects and engineering teams to evolve a centralized data model and high-performance data platform, and continuously improve data engineering standards.

Create modern visual concepts and high-quality assets across digital and print channels, ensuring brand alignment. Manage projects from concept to delivery, advise on communication strategies, collaborate with stakeholders, and integrate AI tools and current trends to enhance creative output while meeting timelines and quality standards.

Define, implement, and verify site Quality Assurance requirements for manufacturing, acting as primary interface between Process Engineering and Operations. Lead CTQ definition, control plans, non-conformance management, RCAs, FMEA, MSA/M&TE oversight, quality inspections, MAIT quality supervision, documentation, audits, and support qualification and product assurance for space applications.