
Crafting Digital Excellence
Data Engineering · ETL · Warehousing
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
Bad data costs U.S. businesses $3 trillion a year. A clean, structured system changes everything.
01
When your data lives in spreadsheets, inboxes, and disconnected tools, you're flying blind. Consolidated data means faster, smarter decisions.
02
Hours spent copying data between systems, building reports by hand, and reconciling numbers — ETL pipelines eliminate that entirely.
03
A properly normalized data warehouse means every team, every report, and every dashboard is working from the same accurate numbers.
04
As your business grows, a well-designed data system scales with you — without collapsing into a tangle of conflicting spreadsheets.
What we do
⟳
Extract from any source — CRMs, APIs, flat files, databases. Transform it cleanly. Load it exactly where it needs to go, on schedule.
◈
Eliminate redundancy, repair inconsistencies, and structure your data to 3NF or beyond. The foundation every reliable system is built on.
▣
Star schema, snowflake, or hybrid — we design and deploy warehouses on Snowflake, BigQuery, Redshift, or your preferred platform.
◎
Connect your warehouse to Power BI, Looker, Tableau, or a custom-built dashboard. Real-time insights, no spreadsheet gymnastics required.
⧖
Already have data, just need it fixed? We assess your current state, identify issues, and deliver a clean, documented dataset.
⚙
Pipelines break. Sources change. Schema evolves. We offer retainer-based support so your data infrastructure never falls behind.
Our process
01
We map your current data sources, pain points, and business goals. No commitment, just clarity.
02
We deliver a detailed scope document with timeline, deliverables, and transparent pricing based on complexity.
03
We build in stages with regular check-ins. You see progress throughout — no black-box delivery at the end.
04
Full documentation, training, and optional ongoing support. Your team takes ownership with confidence.
Pricing
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
This isn't a web agency dabbling in data. Our founder is a practicing data engineer — your project gets real expertise, not a subcontractor.
Enterprise data solutions, sized for Kentucky businesses. We don't sell you a $500K data stack when a $10K warehouse solves the problem.
All code, schemas, and documentation are yours at handoff. No vendor lock-in, no mystery boxes, no hostage data.
FAQ
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.
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.
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.
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.
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.
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.
Free scoping call. We'll review your current data situation and tell you exactly what it would take to fix it.