Yogesh Pugazhendhi Duraisamy Rajamani is a seasoned Senior Data Engineer with over 18 years of experience architecting, building, and optimizing enterprise-scale data platforms. With deep expertise in cloud-native engineering and modern big data ecosystems, he specializes in designing highly scalable, secure, and event-driven data solutions that accelerate digital transformation. Yogesh Pugazhendhi’s core strength lies in leveraging Google Cloud Platform (GCP) services such as BigQuery, Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Run, Pub/Sub, Dataplex, Cloud Functions, Cloud Composer, and Vertex AI to build automated, high-performance data pipelines and intelligent analytics platforms.
Yogesh Pugazhendh’s has a proven track record leading cross-functional engineering teams and driving complex data initiatives across Automotive manufacturing, healthcare, clinical research, and large-scale enterprise environments. He has led complex ingestion and transformation frameworks using Dataflow for streaming/batch pipelines, Dataproc for distributed processing at scale, Kafka and Pub/Sub for real-time event ingestion, BigQuery for analytic warehousing, and Cloud Run/Cloud Functions for serverless microservices and trigger-based orchestration. Abdul has driven multiple large-scale modernization initiatives, including legacy Hadoop-to-GCP migrations, real-time streaming platform development, and enterprise data lake and data warehouse implementations optimized for cost, governance, and performance.
Yogesh Pugazhendhi’s experience extends to enabling advanced analytics and machine learning workflows, collaborating with data science teams to operationalize and monitor ML models using Vertex AI Pipelines, Feature Store, and model-serving endpoints. Known for his rigorous approach to data quality, governance, lineage, and security, he has implemented robust frameworks aligned with HIPAA, GDPR, and FDA 21 CFR Part 11 to ensure compliance across sensitive data ecosystems.
His ability to optimize BigQuery performance, tune Spark workloads on Dataproc, implement Pub/Sub and Kafka-based streaming triggers, and automate observability and CI/CD workflows contributes directly to operational efficiency and measurable business impact. Abdul holds a Master’s degree in Electrical Engineering from Anna University and a Bachelor’s degree in Electrical and Electronics Engineering from the University of Madras. He is also PMP-certified and ITIL Foundation–certified. Fluent in English, Tamil, and Hindi, he excels at bridging technical execution with enterprise-level strategy.