Big Data Engineering & Data Platforms
Scalable pipelines, modern lakehouse architecture, real-time analytics, and enterprise-grade data infrastructure designed to power automation, insights, and AI-ready systems.
Build a Data Foundation That Scales with Your Business
Codexium builds end-to-end data platforms engineered for high throughput, low latency, and enterprise-grade governance.
From ingestion to modeling to analytics, we design systems that transform raw data into usable intelligence — reliably and at scale.
Whether you're migrating to a lakehouse, modernizing pipelines, or enabling real-time insights, we deliver infrastructure built for the next decade.
Modern Data Pipelines
ETL & ELT pipelines built with Spark, Airflow, dbt, or cloud-native schedulers.
Lakehouse Architecture
Delta Lake, Snowflake, BigQuery, or Redshift lakehouse patterns for scalable analytics.
Real-Time Data
Streaming via Kafka, Kinesis, or Pub/Sub with sub-second processing.
What We Build in a Data Engineering Engagement
- Scalable ETL/ELT pipelines
- Lakehouse migration & optimization
- Data quality, lineage & governance
- Streaming / real-time data processing
- Analytics dashboards & warehouse modeling
- AI-ready data infrastructure
Data Done Right Enables Everything Else
Reliable, clean, well-modeled data unlocks automation, reporting, ML, and intelligent workflows. Poor infrastructure blocks every initiative.
Codexium builds a stable, scalable backbone for your data — so teams can innovate faster and with confidence.
When Codexium Is the Right Fit
- Your existing data pipelines can't scale
- You need a central data lake or warehouse
- You want real-time analytics or streaming
- Your BI / ML teams lack reliable data
- You need modern governance & lineage
Performance
High-throughput pipelines designed for massive data volumes.
Governance
Quality checks, lineage, access control, and compliance.
Scalability
Cloud-native infrastructure built for long-term growth.