Big Data Services
Real-time and batch data pipelines built on Spark, Kafka, and cloud-native services for petabyte-scale workloads.
Core Capabilities
Real-Time Streaming
Apache Kafka and Kinesis pipelines for millisecond-latency event processing.
Batch Processing
Apache Spark on EMR/Dataproc for large-scale ETL and aggregation jobs.
Data Lake Architecture
Raw, curated, and consumption zones in S3, ADLS, or GCS.
Data Orchestration
Apache Airflow and Prefect for complex multi-step pipeline scheduling.
Data Quality
Great Expectations and dbt tests for automated schema and value validation.
Governance & Lineage
Data catalogue, lineage tracking, and PII masking across all pipelines.
Tools & Technologies
Our Process
Architecture
Data topology and volume/velocity analysis.
Pipeline Build
Streaming and batch pipeline implementation.
Quality
Data quality tests and monitoring setup.
Optimise
Cost and performance tuning of compute.
What's Included
Unlock your data at scale.
Let's build something exceptional together. Our team is ready to start.
Start a Big Data Consultation