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LuLiFi

Crafting Digital Excellence

Data Engineering · ETL · Warehousing

Your data is an asset. We make it work for you.

From messy spreadsheets to structured data warehouses — we design, build, and maintain ETL pipelines and reporting systems that give your business a real competitive edge.

SQL

Native & cloud

3NF+

Normalization depth

Data sources supported

Why your data infrastructure matters

Bad data costs U.S. businesses $3 trillion a year. A clean, structured system changes everything.

01

Stop making decisions in the dark

When your data lives in spreadsheets, inboxes, and disconnected tools, you're flying blind. Consolidated data means faster, smarter decisions.

02

Automate the manual work

Hours spent copying data between systems, building reports by hand, and reconciling numbers — ETL pipelines eliminate that entirely.

03

One source of truth

A properly normalized data warehouse means every team, every report, and every dashboard is working from the same accurate numbers.

04

Scale without chaos

As your business grows, a well-designed data system scales with you — without collapsing into a tangle of conflicting spreadsheets.

What we do

End-to-end data engineering services

ETL Pipeline Design

Extract from any source — CRMs, APIs, flat files, databases. Transform it cleanly. Load it exactly where it needs to go, on schedule.

Data Normalization

Eliminate redundancy, repair inconsistencies, and structure your data to 3NF or beyond. The foundation every reliable system is built on.

Data Warehouse Build

Star schema, snowflake, or hybrid — we design and deploy warehouses on Snowflake, BigQuery, Redshift, or your preferred platform.

Dashboard & Reporting

Connect your warehouse to Power BI, Looker, Tableau, or a custom-built dashboard. Real-time insights, no spreadsheet gymnastics required.

Data Audit & Cleanup

Already have data, just need it fixed? We assess your current state, identify issues, and deliver a clean, documented dataset.

Ongoing Maintenance

Pipelines break. Sources change. Schema evolves. We offer retainer-based support so your data infrastructure never falls behind.

Our process

How a project works

01

Discovery call

We map your current data sources, pain points, and business goals. No commitment, just clarity.

02

Scope & proposal

We deliver a detailed scope document with timeline, deliverables, and transparent pricing based on complexity.

03

Build & iterate

We build in stages with regular check-ins. You see progress throughout — no black-box delivery at the end.

04

Handoff & support

Full documentation, training, and optional ongoing support. Your team takes ownership with confidence.

Pricing

Priced by project scope.

Data projects vary widely. Select the tier that matches your situation for a detailed breakdown.

Every engagement starts with a free scoping call. We'll assess your data sources, complexity, and goals — then give you a firm quote before any work begins. No surprises.

Select a tier above to see a detailed breakdown of what's included.

All quotes are project-based. Maintenance retainers available after project completion. Kentucky sales tax applies where applicable.

Why LuLiFi

Engineer-built. Business-focused.

Built by a data engineer

This isn't a web agency dabbling in data. Our founder is a practicing data engineer — your project gets real expertise, not a subcontractor.

Kentucky-scale thinking

Enterprise data solutions, sized for Kentucky businesses. We don't sell you a $500K data stack when a $10K warehouse solves the problem.

You own everything

All code, schemas, and documentation are yours at handoff. No vendor lock-in, no mystery boxes, no hostage data.

FAQ

Common questions

How much does ETL consulting cost in Kentucky?+

Project costs depend on scope. Starter work (1–2 sources, basic normalization) runs $500–$1,500. Growth projects with automated pipelines run $1,500–$5,000. Full warehouse builds are typically $5,000–$15,000. Enterprise projects are quoted after a free scoping call — complexity varies too much for a flat rate.

What is a data warehouse and does my business need one?+

A data warehouse is a central, structured database that consolidates data from all your business tools — CRMs, accounting software, POS systems, spreadsheets — into one reliable source. If you're pulling reports manually from multiple systems, a warehouse eliminates that and gives you accurate, real-time answers.

How long does an ETL project take?+

Simple cleanup and normalization projects take 1–2 weeks. Mid-size ETL pipelines with automation typically take 2–6 weeks. Full production warehouse builds run 6–12 weeks. All timelines are confirmed in a written scope document before work begins — no surprises.

Do I need a large company or lots of data to benefit?+

Not at all. Some of our best-fit clients are small businesses with 5–20 employees who are drowning in spreadsheets. You don't need enterprise scale — you just need data that's causing friction or costing time to manage.

What platforms and tools do you work with?+

We work across Snowflake, BigQuery, Redshift, PostgreSQL, and MySQL for warehousing. For orchestration: Airflow and Prefect. Transformations: dbt. Reporting: Power BI, Looker Studio, Tableau. Source data: any API, flat file, CRM, accounting tool, or database you're already using.

Will I own the code and schemas after the project?+

Yes — completely. All SQL, transformation code, documentation, and schema designs are yours at handoff. No vendor lock-in, no ongoing dependency on us unless you want support.

Let's talk about your data.

Free scoping call. We'll review your current data situation and tell you exactly what it would take to fix it.