Engineering Capabilities
Enterprise Data Engineering, Cloud Platforms & Modern Analytics.
Engage Karsient for high-scale data pipeline engineering, complete legacy-to-lakehouse platform migrations, governed enterprise BI, or production AI deployment.
Core Practices
Enterprise Engineering Matrix
Select any capability below to inspect technology stacks, architectural blueprints, and verified business outcomes.
Data EngineeringEnterprise Practice
Modern lakehouses, batch & streaming pipelines, Databricks and Spark.
We build batch and streaming pipelines engineered for scale, observability, and low maintenance overhead — so your teams trust the numbers on day one.
Capabilities & Tech Stack
Lakehouse & ETL/ELT pipeline design
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DatabricksApache SparkDelta Lakedbt
Databricks & Apache Spark delivery
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PySparkPhoton EngineWorkflowsAuto Loader
Data quality & observability
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Great ExpectationsDelta AssertionsMonte Carlo
Schema & contract management
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Unity CatalogProtobufAvroData Contracts
Architectural BlueprintProduction Topology
IngestionLayer 01
Auto LoaderKafka CDCEvent Hubs
Medallion CurationLayer 02
Bronze RawSilver CleanedGold Aggregates
TransformationLayer 03
dbt ModelsPySpark DistributedDelta Live Tables
ConsumptionLayer 04
Databricks SQLFeature StoresSemantic Views
Verified Business Outcomes
- ✓End-to-end data latency reduced from overnight batch to streaming seconds
- ✓Zero-downtime cutovers with schema evolution and rollback support
- ✓Unified storage under open table formats avoiding vendor lock-in
Dedicated Practices
Specialized Engineering Centers
Dedicated practices with certified delivery teams and established production accelerators.
Platform Modernization
Targeted Migration Blueprints
Proven, zero-downtime migration paths from legacy data warehouses and ETL tools onto modern lakehouse platforms.
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