Krishnamoorthi Kandasamy
Staff Engineer @SiriusXM
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WORK HISTORY
Staff Engineer @SiriusXM
Irving, TX, US
Architected and delivered large-scale data pipelines processing 2TB+ daily using PySpark, Scala, and Databricks on AWS and GCP.Designed real-time streaming systems with Kafka and Spark Streaming to support over 60B daily records for the Pandora platform.Built ML-driven recommendation engines (360L & Polaris) enhancing personalization for web and in-car platforms.Integrated OpenAI and GCP LLM APIs to enable AI playlist creation, video search, and gesture recognition features.Led GCP-to-AWS migration of Airflow DAGs, reducing orchestration latency and optimizing resource usage.Engineered GitHub-based reusable templates to accelerate and standardize data pipeline development.Delivered Tableau dashboards and automated royalty reports supporting critical business and compliance needs.Mentored junior engineers and drove innovation across the data platform through design reviews and performance optimization (up to 45% gains).Collaborated with cross-functional teams to deliver AI/ML features aligned with SiriusXM and Pandora product goals.Ensured data reliability, scalability, and cost-efficiency in every aspect of the platform lifecycle.
EDUCATION
Government College of Technology, Coimbatore
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering
SKILLS
ABOUT KRISHNAMOORTHI KANDASAMY
As a seasoned Staff Data Engineer with over 20 years of experience, I specialize in building high-scale, resilient data platforms and real-time analytics solutions across cloud-native environments. My expertise spans data architecture, pipeline engineering, distributed systems, and applied machine learning — with a proven track record of leading end-to-end implementations across media, telecom, healthcare, banking, and retail sectors.At SiriusXM, I’ve architected and delivered cloud-scale streaming and batch data pipelines (processing 60B+ daily records) using Spark, Kafka, Delta Lake, and Databricks on AWS/GCP. I\'ve built ML-powered recommendation engines, automated royalty reporting systems, and integrated LLM-based AI capabilities for personalization and search.I bring deep hands-on experience in Scala, Java, Python, PySpark, Java, SQL, Airflow, and cloud platforms (AWS, GCP), with a focus on performance optimization, platform reliability, and team mentorship. I’ve led engineering initiatives that reduced compute costs, improved data latency, and enabled faster feature delivery across domains.Now exploring senior technical leadership roles — Principal Engineer, Senior Staff Data Engineer, Data Architect, or Technical Manager — where I can drive platform strategy, mentor teams, and scale data innovation.
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