Data Engineering Services & Enterprise Solutions
End-to-end cloud data engineering, automated pipeline migration, scalable lakehouses and enterprise web application development.
Core Services
Explore custom architecture, delivery capabilities and handover deliverables for each platform.
Databricks Consulting
Lakehouse architecture, Delta Lake, Apache Spark optimization and Unity Catalog governance.
Explore ServicesSnowflake Data Engineering
Warehouse design, Snowpark, secure data sharing, migration and performance tuning.
Explore ServicesAzure Data Platform
Azure Data Factory, Synapse Analytics, Microsoft Fabric, Azure SQL and Power BI.
Explore ServicesAWS Data Engineering
AWS Glue, Redshift, EMR, Athena and S3 data lakes with cost and security guardrails.
Explore ServicesETL & Data Pipelines
Metadata-driven ELT, real-time streaming and orchestration with Dagster and Airflow.
Explore ServicesWeb & Application Development
ASP.NET Core applications, REST APIs, microservices and CI/CD delivery.
Explore ServicesAI & GenAI Data Engineering
Enterprise GenAI fails on data plumbing far more often than on model choice. These are the pieces we build so a language model can answer from your data safely and repeatably.
AI & Advanced Analytics Solutions
Transforming complex data into actionable intelligence and LLM-ready insights with modern analytics platforms.
AI-Ready Cloud Infrastructure Design
Building scalable and secure cloud architectures that grow with your business and support advanced artificial intelligence workloads.
RAG Pipeline Engineering
End-to-end retrieval augmented generation built on your own governed content.
- Ingestion from documents, wikis and ticket systems
- Chunking strategy and metadata enrichment
- Scheduled embedding refresh and backfill
- Retrieval evaluation and regression testing
Vector Database Integration
Vector search deployed next to the warehouse it draws from.
- OpenSearch vector engine and k-NN indexes
- pgvector on PostgreSQL and Azure Database
- Databricks Vector Search and Snowflake Cortex Search
- Hybrid keyword plus semantic ranking
LLM Data Preparation
Getting source data clean, permissioned and safe to index.
- PII detection, redaction and masking
- Deduplication and content quality scoring
- Document level access control at query time
- Golden evaluation datasets
Snowflake Cortex AI
SQL-native inference and search without moving data out of Snowflake.
- Cortex LLM functions in SQL pipelines
- Cortex Search and Cortex Analyst
- Document AI extraction
- Credit consumption monitoring
Embedding Pipelines
Keeping the index in step with the data it was built from.
- Scheduled embedding generation and refresh
- Incremental re-embedding on change
- Backfill and reindex without downtime
- Drift monitoring and retrieval regression tests
Bedrock & Azure OpenAI
Managed foundation models wired into your existing cloud account.
- AWS Bedrock model access and Knowledge Bases
- Azure OpenAI deployments and content filters
- Private networking and key management
- Token usage tracking and cost attribution
Specialized Capabilities & Migration
The work that sits around a data platform: moving onto it, running it reliably and building the applications that use it.
Database Migration
On-Premises to Cloud
Seamless migration from legacy on-premises databases to modern cloud and AI-ready platforms.
Cloud-to-Cloud
Efficient migration between different cloud providers with minimal downtime and zero data loss.
Heterogeneous Migration
Complex migrations between different database systems and architectures supporting vector workloads and analytics.
DevOps & Cloud Infrastructure
Containerization
Docker containerization and Kubernetes orchestration for scalable, portable applications and AI workloads across cloud environments.
CI/CD Pipelines
Automated build, test and deployment pipelines using GitHub Actions, Azure DevOps and AWS CodePipeline for rapid and secure software delivery.
Infrastructure as Code
Infrastructure automation using Terraform, ARM templates and CloudFormation for consistent, repeatable and AI-ready cloud deployments.
Enterprise Web Applications
Modern Web Applications
Production-ready applications on Azure App Service, Container Apps, AKS and AWS Elastic Beanstalk, ECS/EKS with CI/CD, full observability and AI integration capabilities.
Technology Stack & Our Process
Our Process
1. Discovery
Understanding your business requirements, data estate and current infrastructure to design the optimal AI-ready solution.
2. Design
Creating scalable, secure architectures tailored to your specific needs, growth plans and vector workload requirements.
3. Implementation
Building and deploying solutions with industry best practices, automated monitoring and comprehensive documentation.
4. Support
Ongoing maintenance, performance optimization and support to ensure your systems perform reliably at scale.
Ready to Get Started?
Let's discuss your project requirements, data architecture goals and how we can help you build scalable AI-ready solutions.
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