Data Orchestration and Monitoring

Workflow Orchestration: Skillfully orchestrate ETL process, leveraging advanced workflow management tools or frameworks to schedule, automate, and oversee ETL job execution, ensuring seamless data flow and process efficiency.

Performance Monitoring: Actively monitor ETL process performance, tracking data throughput, latency, resource utilization, and job completion times. This vigilance ensures operations run smoothly and highlights opportunities for process optimization.

Dependency Management: Adeptly manage dependencies between ETL jobs and subsequent processes ensuring data’s timeliness and accuracy synchronized across analytics, reporting, and other applications, maintaining data coherence and operational integrity.