Data Engineering
We design and build robust ETL/ELT architectures that ensure your data flows seamlessly from source systems into analytical destinations. Our approach prioritizes reliability, cost-efficiency, and fault tolerance.
- API / DB ingestion pipelines
- Batch + real-time pipelines
- Orchestration & automation
- Data quality & validation frameworks
- Metadata, lineage & monitoring
Data Warehousing
A strong warehouse is the foundation of a modern analytics stack. We build durable, well-modeled cloud data warehouses that support deep analytics, fast dashboards, and ML workloads.
- Snowflake / Redshift / BigQuery / Azure SQL
- Star schema modeling
- SCDs, snapshots, data versioning
- Partitioning, incremental strategies
- DWH governance & access control
BI Dashboards
We build scalable BI semantic models and enterprise dashboards with performance-focused design. Every metric is modeled, validated, and aligned with business stakeholders.
- Power BI semantic models
- Optimized DAX & query folding
- Composite models, incremental refresh
- RLS, governance, workspace mgmt
- Executive KPI dashboards
AI / ML Engineering
We help your business adopt AI responsibly and effectively — from fast MVP models to production-grade ML pipelines and automated insight systems.
- Predictive scoring
- Forecasting models
- NLP & classification
- ML Ops & monitoring
- AI-powered insights (AutoInsights)
DevOps & Cloud
We modernize your deployment and release lifecycle with automated CI/CD, monitoring, containerization, and scalable cloud architecture.
- CI/CD pipelines (GitHub / Azure DevOps / Jenkins)
- Docker & Kubernetes
- Monitoring & observability
- Infrastructure as Code (Terraform)
- Cloud cost optimization
Product Development
We develop complete software products — from early wireframes to production deployment — with strong engineering standards and data-driven design.
- MVP development (rapid)
- Full-stack engineering
- Internal enterprise tools
- Custom dashboards & data apps
- API development & integrations
