Cloud Data Engineering & Streaming Pipelines
Architect high-throughput, fault-tolerant ELT and streaming pipelines that ingest, transform, and deliver millions of events per second with zero loss and 99.98% SLA reliability.
The Engine Behind Real-Time Business
When data pipelines fail silently, executive dashboards show outdated figures and automated algorithms make wrong decisions. Traditional batch ETL jobs that run overnight are too slow for today's market conditions.
At Absolute Data Insights, we engineer continuous streaming and modern ELT pipelines using dbt, Apache Airflow, Apache Kafka, and Delta Lake. We build data reliability directly into the pipeline with automated testing, schema evolution handling, and dead-letter queues.
What We Build
- ✓ Real-Time Event Streaming: High-throughput Kafka and Event Hubs architectures handling millions of sensor, transaction, and clickstream events.
- ✓ Change Data Capture (CDC): Debezium and cloud-native CDC streaming database changes into your lakehouse in real time without taxing production OLTP.
- ✓ Automated Testing & CI/CD with dbt: Continuous data assertion testing, schema regression alerts, and automated documentation generation.
- ✓ Robust Orchestration: Apache Airflow and Dagster DAGs with intelligent retry mechanisms, backfill automation, and SLA alerting.
Battle-Tested Engineering Stack
Experiencing Pipeline Failures or Lag?
Our senior data engineers can perform a pipeline health check and identify latency bottlenecks.
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