Build Your AI-Ready Data Foundation
Create robust data pipelines,
modern data lakehouses, and real-time
streaming architectures to fuel your AI initiatives on AWS, Azure, and GCP.
Modern Data Infrastructure
Data Lakehouse Architecture
Unified platform for data warehousing and data lakes using Databricks or Snowflake.
- ✓ Delta Lake / Iceberg implementation
- ✓ Medallion Architecture (Bronze, Silver, Gold)
- ✓ ACID transactions on data lakes
ETL & Data Pipelines
Scalable, self-healing pipelines built with Airflow, dbt, and Spark.
- ✓ Batch and streaming pipelines
- ✓ Data transformation with dbt
- ✓ Automated testing & observability
Real-time Streaming
Low-latency data ingestion for instant AI inference and dashboards.
- ✓ Kafka / Kinesis / PubSub clusters
- ✓ Stream processing (Flink / Spark Streaming)
- ✓ CDC (Change Data Capture)
Data Governance & Quality
Ensure your data is accurate, secure, and compliant.
- ✓ Data Catalog & Lineage (Alation/Collibra)
- ✓ PII Masking & RBAC
- ✓ Great Expectations for data quality
Tech Stack Expertise
AWS
S3, Glue, Redshift, Kinesis
Azure
Synapse, Data Factory, ADLS
GCP
BigQuery, Dataflow, Pub/Sub
Snowflake
Data Cloud, Streams, Tasks
Databricks
Delta Lake, Unity Catalog
dbt
Analytics Engineering
Airflow
Orchestration
Kafka
Event Streaming
Ready to Architect Your Data?
Let's discuss how to prepare your data for the AI era.
Schedule Consultation