DATA ORCHESTRATION

Airflow Integration with DAGs and AWS S3

Automating complex data workflows with robust pipeline orchestration and seamless cloud storage integration.

Scaling Data Operations

We designed and implemented a production-grade Apache Airflow environment to manage and orchestrate high-volume data pipelines. By leveraging customized DAGs and direct AWS S3 integration, we ensured data integrity and processing efficiency.

  • Custom DAG Development for complex ETL logic
  • Automated S3 Event-Driven Triggering
  • Error monitoring and automatic retry logic
  • Secure IAM-based cloud resource access
Airflow Visualization

Implementation Highlights

01

Workflow Design

Mapping complex business logic into efficient, non-blocking DAG structures.

02

S3 Integration

Optimized data ingress/egress patterns for petabyte-scale storage handling.

03

Containerization

Deploying Airflow workers on Kubernetes for elastic scaling based on load.

04

Observability

Integrated logging and alerting via CloudWatch and Slack for instant failure detection.