When data volume, velocity, and variety outgrow traditional databases and warehouses, organizations need engineering practices and platforms purpose-built for scale. At Kepler Megabyte, our big data practice helps client companies design, build, and operate large-scale data systems that turn massive datasets into business-critical insight.
Our engineers work across the modern big data ecosystem. We design and operate distributed processing pipelines on Apache Spark, Apache Flink, Apache Beam, and Databricks; orchestrate workflows with Apache Airflow and Prefect; and build streaming architectures on Apache Kafka, Pulsar, and managed equivalents like Amazon Kinesis and Azure Event Hubs. For storage and access, we work fluently with cloud data lakes on Amazon S3, Azure Data Lake Storage, and Google Cloud Storage — combined with modern table formats like Apache Iceberg, Delta Lake, and Apache Hudi that bring transactional reliability to lakehouse architectures.
The architectural choices we recommend are always grounded in the workload. For high-volume batch analytics, we design medallion-style data lakes with clear bronze, silver, and gold layers. For real-time use cases such as fraud detection, personalization, and operational dashboards, we build streaming-first architectures with low-latency serving layers. For mixed workloads, we apply lambda or kappa patterns based on what your operations team will sustainably run.
Performance, cost, and observability matter as much as correctness at this scale. Our engineers tune Spark jobs, partition strategies, file formats, and compute clusters to deliver predictable performance at sustainable cost. We instrument pipelines with lineage tools, data quality checks, and SLA monitoring so issues are caught before downstream consumers feel them.
For client organizations with ongoing big data investment, we provide senior data engineers, platform engineers, and architects as embedded contractors or full-time hires. The objective is straightforward: a data platform your team operates with confidence, that scales with your business, and that turns raw volume into reliable insight.