Data Pipelines

• Data engineering teams overwhelmed by fragile, manually-maintained pipeline scripts
• Analytics teams waiting hours or days for data refreshes due to pipeline failures
• IT operations managing complex data flows between on-premises and cloud systems
• Organizations scaling data infrastructure that has outgrown its original design

GRAVITI builds data pipelines that are engineered for reliability, not just initial functionality. We design extraction, transformation, and loading workflows using modern orchestration tools—Airflow, dbt, Prefect, or Dagster—with built-in error handling, retry logic, and data quality checks at every stage.

Our engineers implement idempotent pipeline designs that can safely re-run after failures without creating duplicates or corrupting downstream data. Each pipeline includes comprehensive logging, monitoring dashboards, and alerting so your team knows immediately when something needs attention.

Whether you need batch pipelines running on hourly or daily schedules, or real-time streaming pipelines processing events as they occur, we design architectures that match your latency requirements and data volumes while keeping infrastructure costs predictable.

• Pipeline Audit: Review existing data flows, identify fragility points, and document requirements
• Architecture Design: Select orchestration tools and design pipeline topology for reliability and scalability
• Development: Build pipelines with idempotent logic, error handling, and data quality checks
• Testing & Validation: End-to-end testing including failure scenarios and recovery verification
• Monitoring Setup: Deploy observability dashboards, alerting rules, and runbooks for on-call teams

• 99%+ pipeline reliability with automated error recovery and retry logic
• Full observability into data freshness, pipeline health, and processing latency
• Reduced data engineering toil through automated orchestration and self-healing pipelines
• Scalable architecture that handles 10x data volume growth without redesign

• Audit: 1-2 week pipeline review and reliability assessment
• Build: 6-12 week pipeline engineering, testing, and deployment
• Managed: Ongoing pipeline monitoring, incident response, and capacity scaling