Services

Data + Analytics

Elliot builds the data infrastructure, pipelines, and analytics layers that let your organization stop guessing and start knowing. We work across the modern data stack, including Snowflake, Databricks, BigQuery, and Redshift, with AI-native pipelines and agentic systems built on top.

Foundation

Pipelines your team can trust and maintain

Most data problems are not analytics problems. They are infrastructure problems. Elliot builds the foundational layer: ingestion, transformation, orchestration, and quality, so that everything downstream delivers real insights.

Data Engineering + Pipelines

ETL/ELT pipeline architecture that is documented, tested, and not held hostage

Data quality frameworks and observability built into every layer

Processing designed around how your teams actually use data

Analytics + BI

Dashboard and reporting architecture that leadership actually uses

Semantic layers and governed metrics so every team works from the same numbers

Modern BI in Looker, Tableau, or Mode, with migration off legacy tools when the platform is the bottleneck

AI + Machine Learning

Vector databases, embedding pipelines, and RAG architecture for retrieval-augmented systems

Production ML deployment, monitoring, and retraining pipelines built into your data platform

Agentic systems that work directly against your enterprise data, with the right guardrails and access controls

Data infrastructure built to compound

Every Elliot data engineer has built production systems in environments where accuracy and uptime are non-negotiable. We carry that discipline into every engagement: pipelines designed to last, architecture that survives strategy shifts, and a foundation that stays useful as your organization scales.

AI-Ready by Default

Every pipeline we build is structured for AI consumption from day one. Vector embedding, semantic chunking, and access controls baked in, so when your team is ready to put AI on top of the data, the foundation is already there.

AI-Ready by Default

Documented, Tested, Owned

Pipelines come with the documentation, tests, and runbooks your engineers need to operate them without us. No tribal knowledge. No vendor lock-in. The codebase ships with the engagement.

Documented, Tested, Owned

Pipelines come with the documentation, tests, and runbooks your engineers need to operate them without us. No tribal knowledge. No vendor lock-in. The codebase ships with the engagement.

Built for the modern data stack

Modern data tooling, not whatever was popular when we started. We work in Snowflake, Databricks, BigQuery, dbt, Airflow, and the modern data stack your team actually uses, with the AI layer that increasingly sits on top.