Data Analytics & Engineering
Build scalable data platforms and analytics infrastructure. Transform raw data into actionable intelligence with machine learning-ready pipelines.
Data Solutions
Enterprise-grade data infrastructure for analytics and AI
Data Architecture
Design cloud-native data warehouses and lakehouses optimized for analytics and AI workloads.
ETL/ELT Pipelines
Automated data ingestion, transformation, and loading from multiple sources with error handling.
Analytics & BI
Self-service dashboards, reporting, and analytics that drive business decisions.
Data Governance
Data quality, lineage, compliance, and privacy controls built into your platform.
ML Feature Engineering
Feature stores and automated pipelines that prepare data for machine learning models.
Real-Time Streaming
Event streaming, real-time analytics, and low-latency data processing.
Technology Stack
Cloud-native tools and modern data platforms
Cloud Platforms
GCP BigQuery, Azure Synapse, AWS Redshift
Data Warehousing
Snowflake, Databricks, Iceberg
Orchestration
Airflow, dbt, Prefect, Dagster
BI & Analytics
Tableau, Looker, Power BI, Metabase
Our Approach
Assess
Understand current data infrastructure and requirements
Design
Build scalable, secure architecture
Implement
Build pipelines and infrastructure
Operate
Deploy and manage with monitoring
Transform Data Into Competitive Advantage
Build the data platform that powers your analytics and AI initiatives.
Plan Your Data Platform