Data Engineering Services & Real-Time Analytics
High-throughput data pipelines, warehouses, and analytics that actually ship.
What you get with this service engagement.
ETL/ELT pipelines with Airflow, dbt, and Fivetran
Modern data warehouses: Snowflake, BigQuery, Redshift
Real-time data streaming with Kafka and AWS Kinesis
Self-serve analytics dashboards and BI tools
Data quality monitoring, governance, and lineage tracking
Machine learning data pipelines and feature stores
In-depth capabilities & implementation.
Your data is scattered across Salesforce, Stripe, your production database, Google Sheets, and three other SaaS tools. Your team spends hours weekly pulling reports manually. Leadership asks questions you can't answer without a two-day data pull. Sound familiar?
We build the data infrastructure that fixes this for custom enterprise software platforms. Automated pipelines pulling data from every source, cleaning and transforming it, loading it into a centralized warehouse. Then we build dashboards and BI tools your team actually uses.
Data Engineering Services
Data Pipelines
Automated ETL/ELT from any source to any destination
Data Warehousing
Snowflake, BigQuery, Redshift architecture and optimization
Real-Time Streaming
Kafka, Kinesis for event-driven architectures (powering systems like our Guardian ML real-time fraud detection engine)
Analytics & BI
Looker, Tableau, Metabase, custom dashboards
Data Quality
Automated testing, monitoring, alerting on data issues
Data Governance
Lineage tracking, access controls, compliance
Real-World Scale
We've built data platforms processing millions of events daily (such as the Affinity Engine deep learning recommender), warehouses handling terabytes of historical data, and real-time dashboards updating every 30 seconds. Learn more about measuring AI data pipeline ROI.
Modern Data Stack
Ingestion
Fivetran, Airbyte, custom connectors
Transformation
dbt (data build tool), SQL, Python
Orchestration
Apache Airflow, Prefect, Dagster
Storage
Snowflake, BigQuery, Redshift, S3 data lakes
Visualization
Looker, Tableau, Metabase, custom React dashboards
Quality
Great Expectations, Monte Carlo, custom monitoring
Need a custom scope?
Talk directly with a senior architect. We'll audit your requirements and provide a clear timeline & fixed-price proposal within 48 hours.
Schedule 30-Min CallHow we execute & deliver your project.
Audit your data sources, map what you have, identify what questions leadership needs answered.
Build core pipelines—pulling data from key sources into a warehouse, with basic transformations and quality checks.
Build dashboards and BI layer. Self-serve analytics so your team answers their own questions without waiting on engineering.
Expand to additional data sources, add more sophisticated transformations, optimize performance.
You get a system that's maintainable, well-documented, and doesn't break when someone changes a Salesforce field.
Who this service is engineered for:
Expected key outcomes & metrics:
Single pane of glass for leadership decision-making
Sub-minute data freshness for real-time insights
Compliance-ready data lake with full governance
80% reduction in manual reporting time
Industries We Deploy Data Engineering Services & Real-Time Analytics Into
Healthcare
HIPAA-compliant healthcare software studio. We engineer custom EHR integrations, FHIR data pipelines, and telemedicine platforms in 4–8 weeks.
FinTech
Custom FinTech software development firm. We build custom payment gateways, trading systems, AI fraud detection, and WealthTech SaaS in 4–8 weeks.
Logistics
Custom logistics & supply chain software development. We engineer AI route optimization, freight TMS platforms, and fleet telematics in 4–8 weeks.
LegalTech
Custom LegalTech software development studio. We build AI contract review tools, legal document extraction, and custom law firm ERPs in 4–8 weeks.
Frequently Asked Questions.
Architecture Guides & Teardowns
Domain-Specific Language Models vs Frontier LLMs: When to Use What in Enterprise SaaS
Should your enterprise SaaS run on Claude 3.7 / GPT-4o or a fine-tuned 8B–70B open-weight model? A ruthless FinOps analysis comparing inference token costs, latency budgets, data sovereignty compliance, and hybrid routing architectures.
Jev by TypeSafe AI: Why 'System One' Decision Models Are Replacing LLMs in Enterprise Agentic Workflows
Why is tech Twitter (X) obsessing over Jev? An exhaustive technical analysis of TypeSafe AI's System One decision model: non-autoregressive parallel evaluation, RLCD (Reinforcement Learning for Calibrated Decisions), 70ms latency, zero hallucinations by construction, and how hybrid System 1/System 2 architectures are replacing bloated LLM routing in enterprise production.
Model Context Protocol (MCP): Architecture, JSON-RPC Spec, Enterprise Security & Production Implementation Guide
The definitive technical guide to Anthropic's Model Context Protocol (MCP). Learn how Host-Client-Server JSON-RPC 2.0 architectures, stdio/SSE transports, dynamic tool schemas, and zero-trust sandboxing are replacing brittle point-to-point custom API integrations for enterprise AI agents.
Explore Other Solutions
All 8 servicesEnterprise AI Automation & Multi-Agent Systems
Custom enterprise AI automation with frontier LLMs (OpenAI, Anthropic, open-source), multi-agent graphs, and deterministic RAG to convert manual workflows into autonomous systems.
B2B SaaS Platform Development & Architecture
Production-ready multi-tenant SaaS applications with PostgreSQL Row-Level Security, Stripe usage billing, and cloud infrastructure shipped in 4–8 weeks. Built for high concurrency and enterprise scale.
Enterprise Custom Software Development & Modernization
Custom internal platforms that replace spreadsheets, legacy systems, and duct-taped tooling. Built for operations teams, sales teams, and enterprise workflows in 4–8 weeks.
Start your Data project with our senior engineering studio.
Book a free 30-minute scoping call. A senior technical partner will review your requirements and provide a clear timeline and ballpark estimate.