DataPipelinesThat Survive Contact With Production
We engineer streaming ingestion, cloud data platforms, and AI agents for enterprise systems — built on real production experience with zero corporate fluff.
How we can help you scale
Choose the path that fits your current operational and technical needs
Data Platforms & Pipelines
Transform raw event streams and database mutations into secure, governed cloud data platforms.
- Data warehouse architecture for scalable analytics & CDC
- Centralized metrics governance & single source of truth
- Compute cost optimization — slash cloud database bills
- Automated incremental data pipelines & real-time ingestion
AI Agents & Analytics Interfaces
Connect enterprise schemas to AI agents and natural language query systems.
- Secure natural-language interfaces for internal databases
- Autonomous workflow agents for operational processing
- Vector search & RAG across structured and unstructured data
- Enterprise LLM integration without private data leakage
Training & Engineering Talent
Upskill engineering teams or source pre-vetted data practitioners.
- Production-grade data engineering training & mentorship
- Vetted data talent placement for enterprise engineering teams
- Modern analytics engineering & dbt model governance
- Secondary capabilities: custom internal tools & portal interfaces
Architectures built for production
We design, build, and optimize enterprise data platforms, AI-powered automation, and operational analytical portals.
Custom Software & Data Portals
We build internal data portals, executive dashboards, and operational web tools engineered directly over modern data architectures.
- •Operational web applications tailored to business data workflows
- •Client portals and internal dashboards linked to analytical databases
- •High-performance UI/UX design with responsive data visualizations
- •Custom API integrations and automated data management interfaces
Volume
5M+ CDC
SLA Reliability
99.9%
Cost Saved
~60%
Cloud Data Platforms & Analytics
We turn messy, scattered data sources into a single source of truth—slashing cloud costs, automating reporting, and delivering clear business insights.
- •Connect database silos into a centralized, modern warehouse
- •Unify KPIs so your finance, sales, and product teams trust the same numbers
- •Identify and eliminate unnecessary database queries to cut cloud bills
- •Automate routine data updates so dashboards are always fresh
AI Agents & Cognitive Automation
We connect your database schema to AI agents and natural language interfaces, letting your team query insights in plain English and automate complex back-office chores.
- •Securely query enterprise records using natural language search
- •Build cognitive workflow agents to autonomously process incoming tasks
- •Uncover hidden knowledge across scattered sheets, docs, and PDFs
- •Integrate LLMs securely without exposing private customer data
How we partner with you
A structured, practitioner-led engineering process built for reliability and maintainability
1. Source-System Audit
We evaluate your source databases, schemas, record volume, and exact freshness requirements before designing any pipelines.
2. Architecture & Strategy
We define batch vs streaming boundaries, compute cost limits, and SLA targets to construct a maintainable system design.
3. Production Build
We build versioned transformation models, CDC triggers, or AI agent interfaces with automated monitoring and retries.
4. Handover & Governance
We transfer complete infrastructure modules, document data contracts, and train your internal engineering team.
Numbers from systems we shipped
Every figure below comes from a published case study — follow any of them through to the architecture and the trade-offs behind it.
Case Studies & Publications
Explore our real-world client implementations, architectural audits, and advanced engineering articles.
SAP ECC to Databricks Lakehouse: Enterprise CDC Architecture on Azure
Architected an enterprise Lakehouse solution migrating 5M daily CDC records from SAP ECC (Oracle) to Azure Databricks. Features ODP/OData ingestion, automated PySpark schema evolution & drift alerting, multi-tier data quality quarantine, and Serverless compute optimization.
Natural Language Data Agent
A domain-agnostic AI agent that lets analysts query data, helps engineers trace pipelines, and gives engineering managers visibility into team work from plain-English questions.
AI-Powered Analytics Assistant
Built a conversational analytics assistant that converts natural language into cloud SQL, enabling business users to self-serve repeated data pulls in real time.
Multi-Agent Development Framework
Designed an advanced multi-agent development workflow and orchestration framework, improving development speed and consistency across design, build, test, and documentation.
Ready to build scalable data platforms or deploy AI agents?
Tell us your source systems, volume, and latency requirements. Book an engineering consultation or send a message, and we'll reply within one business day.