Apache Airflow at Shivacha
Workflow orchestration for data pipelines.
Overview
Airflow schedules and orchestrates data pipelines as code with dependencies, retries and monitoring. We use it for ETL, ML training pipelines and reporting jobs.
Why we use it
- Pipelines as code
- Dependency management
- Retries and alerting
- Large operator ecosystem
How we use it
Apache Airflow in our engineering work
ETL
Scheduled data pipelines.
ML pipelines
Training orchestration.
Reporting
Scheduled reports.
Services
Services that use Apache Airflow
AI Data Solutions
Data engineering for AI: pipelines, warehouses, feature stores, vector indexes and governance that make AI systems accurate.
Learn moreMachine Learning Development
Custom machine learning models for prediction, scoring, forecasting and recommendation, deployed and monitored with MLOps.
Learn moreNLP Development
Natural language processing for classification, entity extraction, sentiment, search and multilingual text understanding.
Learn moreComputer Vision Development
Computer vision systems for inspection, detection, recognition and visual analytics — from cloud APIs to edge devices.
Learn morePairs well with
What we combine with Apache Airflow
Pipelines, streaming, warehousing and real-time analytics.
Build with Apache Airflow.
Tell us about your project, or the engineers you need, and we will propose an approach.