Data Engineer (Freelancer)

Key Deliverables:

• Design and implement scalable, secure enterprise-grade data platforms
• Build real-time and batch data pipelines to support ML and analytics use cases
• Optimize cloud-based data infrastructure for performance, scalability, and compliance
• Enforce robust data governance and CI/CD practices for high-quality data delivery

Role Responsibilities:

• Integrate diverse data sources using distributed systems architecture
• Collaborate on real-time streaming solutions using Flink, Kafka, or Kinesis
• Implement DevOps DataOps workflows using Terraform, Airflow, and Kubernetes
• Work with stakeholders to ensure data systems align with business and regulatory needs