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Data Engineering & Analytics
Real-Time Streaming Fabrics, Modern Lakehouses & Predictive Intelligence

Data Engineering & Analytics

Data is the lifeblood of cognitive enterprise. We build resilient real-time streaming architectures, unified data mesh architectures, and self-service analytics engines that empower thousands of business users.

<200msData FreshnessFrom streaming ingestion to dashboard
8.5xQuery PerformanceSpeedup on multi-terabyte data models
99.98%Pipeline ReliabilityWith automated schema evolution
-52%Storage CostOptimized Iceberg/Delta lake partitioning
Architecture LayersTier-1 Reference
Ingestion & Streaming Fabric
Change Data Capture (CDC)Apache Flink Stream ProcessingKafka Event Bus
Schema registry validation with automatic dead-letter queue routing

Module Breakdown & Deliverables

Production-grade modules engineered and supported by HexatechLab dedicated squads.

Modern Lakehouse Architecture

Unify batch and real-time streaming pipelines with Apache Iceberg, Delta Lake, Snowflake, and Databricks.

Production Outcomes:
  • Single unified source of truth
  • Zero duplicate ETL pipelines
  • 50% lower compute overhead
Tech Stack Integration:
SnowflakeDatabricksApache IcebergdbtApache FlinkKafka

Data Mesh & Domain-Driven Governance

Decentralize data ownership across business units while enforcing central security, lineage tracking, and data quality SLAs.

Production Outcomes:
  • Self-service data discovery in minutes
  • Automatic PII tagging and masking
  • Complete data lineage auditing
Tech Stack Integration:
Great ExpectationsAtlanMonte CarloApache Atlas
Featured Case Study in this DomainHealthcare & Life Sciences

FHIR-Compliant Clinical Data Lakehouse Unifying Patient Records

Constructed a centralized, HIPAA-certified clinical data mesh that ingests real-time telemetry from clinical departments and disparate EHR systems.

InstantPatient Record Lookup Time
OptimizedData Pipeline Processing Cost
PassedHIPAA Audit Status
On-TimeMilestone Delivery
Technical & Implementation FAQs

Can we implement a Data Mesh without disrupting our day-to-day analytics?

Yes, our phased implementation pattern introduces domain data products incrementally, running alongside existing BI tools until user adoption reaches full parity.