Data Infrastructure & Optimization

We build scalable, AI-ready data systems that power your analytics, operations, and automation.

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Workflow Orchestration (ETL/ELT)

We design reliable, modular pipelines that ingest, transform, and organize your data across sources and formats.

Ingest from APIs, files, or databases.

Clean, enrich, and model the data.

Use schedulers like Mage, Airflow, or AWS Glue.

Monitor and scale as your volume grows.

These pipelines become the trusted backbone for your dashboards, ML models, or agentic workflows.

Lakehouses & Warehousing

We build high-performance data platforms that reduce cost, improve speed, and eliminate reliability issues — without locking you into one tool.

Snowflake, BigQuery, ClickHouse, Databrick

Open-source lakehouses (Dremio, ApacheIceberg)

Partitioning, cost optimization, and access governance

Medallion architecture (bronze → silver → gold layers) for data flow clarity

Whether you're centralizing your stack or migrating off legacy tools we make sure the platform works for both humans and machines.

Real-Time Data Streaming

When latency matters, batch isn't enough.We design streaming- first systems to process data as it moves.

Kafka, Amazon MSK, and custom event buses.

Clickstream and log ingestion.

Realtime dashboards and alerts.

Event-driven pipelines for ML and automation.

Streaming and batch pipelines work together to ensure every system gets the data it needs in the right time window.

Infrastructure for AI Workflows

Modern AI systems need structured, reliable data — delivered with consistency and context. We help you build the infrastructure that supports:

Versioned, trusted datasets for LLMs and copilots.

Structured outputs from unstructured inputs (PDFs, audio, JSON).

Real-time feeds for agents, RAG, or feedback loops.

Metadata and observability for context-driven workloads.

If you're building agents, copilots, or ML systems this is the data layer they depend on.

Tooling we use

Modern AI systems need structured, reliable data — delivered with consistency and context. We help you build the infrastructure that supports:

Orchestration

Mage, Airflow, AWS Glue .

Warehousing

Snowflake, BigQuery, ClickHouse, , Dremio

Streaming

Kafka, MSK, custom WebSocket pipelines.

ETL

dbt, pandas, Spark, Python-native loaders.

Governance

schema enforcement, S3 lifecycle policies, versioning.

Orchestration

Mage, Airflow, AWS Glue .

Warehousing

Snowflake, BigQuery, ClickHouse, , Dremio

Streaming

Kafka, MSK, custom WebSocket pipelines.

ETL

dbt, pandas, Spark, Python-native loaders.

Governance

schema enforcement, S3 lifecycle policies, versioning.

Experimental Work: ML in Databases

We're exploring tools like MindsDB to embed lightweight ML directly inside your database layer — enabling predictions, classifications, or anomaly detection without leaving SQL.

This is ideal for teams exploring AI workflows with minimal overhead and we can help you validate whether it fits your architecture.

When to Bring Us In

Partner with us to unlock smarter decisions, faster workflows, and a seamless data experience tailored to your needs.

Your dashboards are slow, unreliable, or returning inconsistent data.

Your data is spread across tools, files, and systems — and hard to unify.

You're spending too much on warehousing or storage, and want to optimize.

You want to enable AI workflows but your data isn't structured or versioned .

Let's Build Something Useful

Have a use case in mind — or need help scoping one? We'll help you architect the right system and make sure it performs.