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Designs and deploys Apache NiFi-based data pipelines to integrate learning solutions and streamline complex educational environments.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain robust data pipelines and platforms for clients, focusing on reliability, scalability, and observability using tools like Spark, Kafka, and NiFi.
Design and maintain robust data architectures for a Mexican energy company, ensuring data quality, integration, and governance to support operational efficiency and decision-making.
Build and maintain secure Kubernetes-based platforms for defense and security clients, automating deployments with Java/Python, Terraform, and Ansible while ensuring data quality and compliance.
Maintain and evolve Linux and DevOps infrastructure, including GitLab CI/CD, Kubernetes, Rancher, and Docker for automation and modernizing systems.
Builds scalable data pipelines and backend services in Python/Java to ingest and transform data for government and Fortune 500 clients using AWS and NiFi.
Senior engineer builds and runs a cloud-based big-data platform on AWS, using Cloudera services, Kafka, Flink, NiFi, and Terraform to keep pipelines fast and reliable.
Build and scale automated, self-healing big-data platforms using Kubernetes, Terraform, Spark and Hadoop; advise clients on data-infra best practices.
Build and automate secure, scalable cloud-native platforms for a high-impact government environment using Kubernetes, CI/CD pipelines, and infrastructure-as-code tools.
Principal Data Engineer designs and delivers secure, scalable data pipelines and cloud solutions for defence and government programmes, mentoring teams and deploying ML models.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Build a Python-based portal for automating data-ingestion requests using Azure DevOps, Power Automate, Oracle/BigQuery, NiFi and Google Cloud Platform.
Design and optimize secure, cloud-native data pipelines and platforms to transform complex data into actionable insights for mission-critical decision-making.
Maintain and improve existing on-prem DevOps platforms (GitLab CI/CD, Nexus, NiFi, Kubernetes) for mission systems, ensuring reliability, security, and incremental enhancements using Grafana, Prometheus, and Linux automation.
Maintain and improve existing on-prem DevOps tooling (GitLab CI/CD, Nexus, NiFi, Kubernetes) and monitoring (Grafana/Prometheus) for classified mission systems in Aurora, CO or Fairfax, VA.
Lead a team of data engineers to build and maintain scalable data pipelines and infrastructure for RBC’s asset management unit, enabling analytics, ML, and AI solutions.
Engineer and maintain a Kubernetes-based big-data platform using Azure services, Apache NiFi, and CI/CD pipelines to ensure reliability and security.
Designs scalable big-data architectures using AWS/Azure, Kafka, Spark, and Kubernetes, with a focus on Data Mesh, CI/CD pipelines, and real-time streaming for data-intensive applications.
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