Data Pipelines & Real-Time ETL Systems
Turn data chaos into competitive intelligence. We build bulletproof pipelines that move, transform, and deliver data at scale—from batch processing to real-time streams.
Divine Sols builds secure, high-performance data pipelines for batch and streaming ETL. We implement real-time pipelines with Kafka and Flink, batch ETL with Airflow and dbt, and data warehouses on Snowflake and BigQuery. Typical outcomes include 99.9% pipeline uptime, sub-2-second latency, and millions of records per day.
Transformation Promise
What We Build
Real-Time Data Pipelines
Stream processing with Kafka, Flink, Spark Streaming
Batch ETL Systems
Nightly/hourly jobs with Apache Airflow, dbt
Data Warehouse Architecture
Snowflake, BigQuery, Redshift—optimized for speed
API-First Data Platforms
RESTful/GraphQL APIs for data access
Change Data Capture (CDC)
Real-time database replication & sync
Data Quality & Monitoring
Validation, profiling, alerting, lineage tracking
Business Outcomes
99.9%
Pipeline Uptime
<2sec
Latency Real-time
10M+
Records/day
$1.8M
Cost Saved
Results as reported by clients on completed engagements.
Technology Stack
Ideal For
- •Companies needing real-time business intelligence
- •Enterprises with data scattered across 10+ systems
- •Fast-growing companies outgrowing spreadsheets
- •Businesses with compliance/audit data requirements
Pricing
From $20,000 | Typical: $40K–$200K
Ongoing support & optimization available
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Ready to Get Started?
Schedule a free discovery call or drop us an email.