What It Is
Airbyte is an open-source data integration platform that provides 300+ pre-built connectors for extracting data from SaaS applications, databases, APIs, and files. It handles the undifferentiated heavy lifting of data extraction — connection management, incremental syncing, schema detection, and error handling — so engineering teams can focus on transformation and analysis.
How We Use It
Airbyte is our primary tool for data extraction and loading. We deploy it for ELT pipelines, connecting data sources to warehouses like Snowflake, BigQuery, ClickHouse, and PostgreSQL. We run self-hosted Airbyte instances on Kubernetes for production workloads and integrate sync schedules with Airflow for end-to-end pipeline orchestration. When needed, we build custom connectors using Airbyte’s CDK.
Our Expertise
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✓Deployment & Operations
We deploy Airbyte on Kubernetes (Helm), configure resource limits, manage upgrades, and monitor sync health.
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✓Connector Configuration
We configure and optimize connectors for reliable incremental syncing, schema change handling, and performance.
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✓Custom Connectors
We build custom connectors using Airbyte's CDK (Python) for proprietary APIs and data sources.
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✓Orchestration Integration
We integrate Airbyte syncs into Airflow DAGs for coordinated ELT pipelines with dbt transformations.
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✓Destination Optimization
We optimize data loading into warehouses: batch sizes, write modes, and schema mapping for each destination.
Typical Use Cases
SaaS Data Extraction
Syncing data from CRM, marketing, finance, and productivity tools into the warehouse.
Database Replication
Replicating production databases to analytical environments for reporting.
API Integration
Extracting data from REST and GraphQL APIs with custom connectors.
ELT Pipelines
End-to-end ELT with Airbyte for extraction, dbt for transformation, and Airflow for orchestration.
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