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Build and maintain scalable backend services in Java/Spring Boot, deploy with Docker/Kubernetes on AWS, and integrate event-driven systems with Kafka.
Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
Design and maintain GCP infrastructure, CI/CD pipelines, and IaC for scalable, secure deployments while collaborating with cross-functional teams to enforce best practices.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using tools like Dagster, ClickHouse, dbt, and Apache Iceberg to ensure reliable, high-quality data for analytics and AI-driven insights.
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