Build scalable, secure, and efficient data infrastructure for smarter analytics and AI.
At Datraxa, we design and implement end-to-end data warehousing and ETL (Extract, Transform, Load) pipelines to centralize your data, automate data flows, and prepare it for analytics, dashboards, and machine learning. Whether you’re migrating from spreadsheets or upgrading a legacy system, we ensure your data is accurate, accessible, and AI-ready.
What We Offer
Modern Data Warehouse Design
- Architecture planning and setup on platforms like Google BigQuery, Amazon Redshift, Snowflake, or Azure Synapse
- Scalable schemas (star, snowflake, or hybrid) based on business use cases
- Secure storage with role-based access, encryption, and compliance
Automated ETL/ELT Pipelines
- Custom-built ETL flows using Python, Airflow, DBT, or Apache NiFi
- Seamless data ingestion from CRMs, APIs, websites, SQL/NoSQL databases, and flat files
- Real-time or batch processing pipelines to keep your data fresh and actionable
Data Cleaning & Transformation
- Handling missing values, deduplication, and normalization
- Complex transformation logic including joins, aggregations, pivots, and lookups
- Metadata management and lineage tracking for traceability
Migration & Integration
- Migrate from Excel, on-premise systems, or legacy BI tools to cloud-based infrastructure
- Integrate with Power BI, Tableau, Looker, and ML pipelines
- API development for real-time data sync across tools and platforms
Why Datraxa?
- Tool-Agnostic Expertise: We work with tools that best suit your needs—no vendor lock-in
- Optimized for Scale: Architected for future growth and increased data volumes
- Analytics-Ready: Structured data pipelines aligned with BI and AI use cases
- Security & Governance: Built-in compliance with GDPR, HIPAA, and SOC2 where applicable
Use Cases
- Business Intelligence (BI) Reporting
- Machine Learning Model Feeding
- Sales & Marketing Performance Tracking
- Real-Time Dashboarding & Alerts
- Customer 360 Views & Product Analytics