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Build and maintain AWS-based cloud infrastructure and CI/CD pipelines for global clients, using Terraform, Kubernetes, and Agentic AI tools to automate DevOps workflows.
Lead a DevOps team to build and maintain CI/CD pipelines for containerized and serverless microservices on AWS, ensuring scalable deployments across mobile, desktop, and wearable platforms.
DevOps engineer designs, deploys, and maintains cloud-native infrastructure using AWS/GCP/Azure, Kubernetes, Terraform, and CI/CD pipelines for a software consultancy.
Build and maintain cloud infrastructure (AWS/Azure/GCP) and CI/CD pipelines to deploy secure, scalable university systems, using Terraform, Kubernetes, and monitoring tools.
Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud automation to streamline software delivery and keep systems stable and scalable.
Build and maintain CI/CD pipelines, cloud infrastructure, and monitoring for a high-traffic betting platform using AWS, Kubernetes, and Terraform.
Maintain and improve cloud-native systems, automate deployments, and respond to incidents using Kubernetes, AWS/Azure/GCP, CI/CD pipelines, and observability tools.
Design and maintain cloud infrastructure and CI/CD pipelines on AWS/Azure/GCP using IaC, automation, and Kubernetes to ensure scalable, secure, and compliant systems for a global digital company.
Build and maintain backend services in Python and APIs for a real-time personalization platform, occasionally contributing React-based frontend features.
Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks, and cloud cost governance.
Lead the design and implementation of scalable Snowflake-based data ingestion and validation pipelines on AWS for an enterprise client, enforcing Medallion Architecture and data governance.
Build and enhance cloud-native full stack apps using Node.js, React, and AWS serverless services like Lambda and DynamoDB.
Build and maintain full-stack apps with React and PostgreSQL, design APIs, optimize cloud infrastructure on AWS, and use AI tools for development and debugging.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Build and maintain data pipelines, cloud infrastructure, and support data scientists in industrializing their models using technologies like Spark, Kafka, and Snowflake.
Designs, implements, and maintains AWS-based infrastructure using Terraform/CloudFormation, ensuring reliability, security, and cost efficiency for hybrid work environments.
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
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