Enterprise Data Engineering & Lakehouse

Real-Time Data Fabric

Streaming at Millisecond Latency

Batch ETL processes create hours of business lag. Zevionix builds unified streaming Lakehouse architectures powered by Apache Kafka, Apache Flink, and ClickHouse that process millions of events per second with instant analytical querying.

Sub-Second Ingestion: Kafka & Flink stateful stream processing pipelines.
Lakehouse Architecture: Delta Lake, Iceberg, and Snowflake with ACID transactions.
AI Vector Databases: High-speed vector index ingestion (Milvus, Pinecone, Qdrant).
Data Governance: Automated schema registry, lineage tracking, and GDPR compliance.

Design Data Architecture

Data Solutions

End-to-End Data Stack

From edge sensor ingestion to executive real-time intelligence dashboards.

Real-Time Streaming Fabrics

Continuous event streams, windowed aggregations, and complex event processing with Apache Flink, Spark Streaming, and Redpanda.

Modern Data Lakehouses

Consolidating structured, semi-structured, and unstructured data into scalable, cost-effective columnar Lakehouses with sub-second queries.

AI & Vector Pipelines

Automated embeddings generation, semantic caching, vector search indexing, and real-time feature stores for machine learning models.