Data & AnalyticsDecentralized Data Mesh with Sub-Second Analytical Queries
Enterprise Data Engineering & Real-time Analytics
Unified Lakehouse Architecture & Real-Time Analytics Mesh
Unified data lakes, real-time stream processing, and analytical warehouses for instantaneous business intelligence.
Real-time
Ingestion Speed
Event stream to queryable analytics in < 2s
250 ms
Query Latency
Columnar warehouse query response
100% Tested
Data Quality
Automated dbt schema assertions
Architectural Overview
Service Scope & Engineering Context
Transform disparate data silos into unified, governed data meshes. We build streaming and batch data pipelines using Snowflake, ClickHouse, Apache Spark, and dbt, turning raw telemetry and transactional data into actionable insights in real-time.
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Curated Enterprise Stack
Technologies & Protocols
Warehouse & Lakehouse
SnowflakeClickHouseApache IcebergDatabricks
Streaming Engines
Apache FlinkApache SparkKafka Streams
Transformation & Mesh
dbt CoreApache AirflowDagster
BI & Reverse ETL
MetabaseTableauCensusHightouch
Technical Deliverables & Capabilities
What We Build & Optimize
Modern Data Stack (MDS) implementation & migration
Real-time stream processing with Apache Flink & Kafka
Data mesh architecture & decentralized domain ownership
Automated data quality testing & anomaly detection
Executive BI dashboards and reverse-ETL integrations
Tangible Deliverables
Handover Artifacts & Repositories
Production data pipelines with automated health checks
Data catalog with automated lineage and documentation
Curated data mart tables optimized for sub-second BI queries
Data retention and GDPR/CCPA compliance scripts