SERVICES & CAPABILITIES
Engineering for Data-Intensive Systems
NVAK provides practical engineering services and develops AI-assisted solutions for organizations that depend on reliable, accurate, and scalable enterprise data systems.
Data Pipeline Development
- ETL/ELT pipeline design
- Batch data processing
- Data integration
- Workflow orchestration
- Pipeline monitoring and troubleshooting
Oracle Database Engineering
- Oracle SQL and PL/SQL
- Oracle APEX
- Stored procedures and packages
- Production troubleshooting
- Performance tuning and diagnostics
Cloud Data Platforms
- BigQuery development
- GCP and Cloud Storage
- Cloud Composer / Airflow
- Datastream / CDC
- AWS data and AI solution development
SQL & Database Modernization
- SQL migration and conversion
- Legacy database modernization
- Query tuning
- Execution plan analysis
- PL/SQL optimization
Data Quality & Reconciliation
- Cross-platform data validation
- Automated data reconciliation
- Duplicate and anomaly detection
- Reporting accuracy
- Production data issue resolution
AI Agents & Intelligent Data Workflows
- AI agent development
- Database and data engineering agents
- Retrieval-augmented generation (RAG)
- Vector search and enterprise knowledge retrieval
- LLM-assisted SQL and data workflows
- AI-assisted data reconciliation and analysis
PRODUCT & INNOVATION
From AI Concepts to Useful Engineering Tools
NVAK is actively developing and evaluating AI-enabled tools for enterprise data work. These efforts combine LLMs, agent frameworks, database tools, retrieval systems, and cloud infrastructure with established engineering controls.
Areas of focus include agent-assisted database diagnostics, SQL modernization, source-to-target reconciliation, enterprise knowledge retrieval, and automation of repeatable data engineering tasks.
PracticalDesigned around concrete engineering workflows and measurable outcomes.
GroundedConnected to enterprise data, metadata, tools, and governed knowledge.
ControlledBuilt with validation, guardrails, and human oversight where appropriate.