Service Detail

Data Engineering

Reliable data pipelines, clean warehouses, and analytics infrastructure — built to handle real volume without constant babysitting.

4-10 weeks ETL/ELT Warehousing

The Problem We Solve

Brittle Pipelines

Scripts that break silently, partial loads, and nobody notices until a report is wrong

Scattered Data

Data spread across spreadsheets, APIs, and databases with no single source of truth

Slow Queries

Reports that take minutes to run, dashboards that time out, and analysts waiting on data

Core Deliverables

Data Pipeline

Automated ingestion and transformation with monitoring, retries, and data quality checks

ETL/ELT Scheduling Quality Checks

Warehouse & Modeling

Clean schema design, dimensional modeling, and materialized views for fast analytics

PostgreSQL dbt Schema Design

Analytics Layer

Dashboard-ready data models, metric definitions, and documentation your team can actually use

Data Models Documentation Metrics

Who This Is For

Growing SaaS Teams

You have product data but no analytics infrastructure to make sense of it

Data-Rich Operations

Logistics, finance, or service businesses with data trapped in operational systems

Teams Outgrowing Spreadsheets

Manual CSV exports and Excel workflows that can't keep up with your scale

AI-Ready Data Prep

You want to feed clean, reliable data into AI systems but your data isn't there yet