Data platforms on Snowflake & Databricks. AI automation with Azure OpenAI. Dashboards in Power BI & Tableau.
DataLeap is a founder-led consultancy that builds production data pipelines, deploys LLM-powered automation, and delivers governed BI dashboards for healthcare, agriculture, financial services, and manufacturing teams.
Capabilities built for growth-stage and enterprise teams
We partner with operations and finance leaders in healthcare, agriculture, financial services, and manufacturing to replace fragmented spreadsheets and manual reporting with automated, tested data pipelines.
Explore Capabilities Meet Our FounderDataLeap is a brand of Data Leap Solutions Inc, a South Dakota corporation.
Data Platform Engineering
Databricks and Snowflake lakehouses, dbt transformation pipelines with automated testing, and Airflow-orchestrated ingestion from ERP, CRM, and operational systems.
AI Workflow Automation
Azure OpenAI-powered document processing, RAG pipelines over internal knowledge bases, and LLM integrations embedded into existing Microsoft 365 and CRM workflows.
Advanced Analytics
Power BI, Tableau, and Looker dashboards backed by governed semantic models — replacing spreadsheet consolidation with self-service reporting and demand forecasting.
Change Enablement
Hands-on training workshops, runbook documentation, and a 90-day post-launch support period with weekly office hours so your team operates independently.
Build a Databricks or Snowflake lakehouse with tested dbt models and automated ingestion.
We connect ERP systems (SAP, NetSuite, Sage), CRMs (Salesforce, HubSpot), and operational databases into a single governed lakehouse on AWS, Azure, or GCP.
- Automated ingestion pipelines orchestrated with Airflow, pulling from REST APIs, SFTP feeds, databases, and SaaS platforms on a defined schedule.
- dbt tests and data quality checks on every pipeline run, alerting your team to anomalies before they reach dashboards.
- Governed semantic layers in Power BI or Looker that standardize KPI definitions across finance, operations, and sales.
The deliverable is a production data platform with CI/CD deployment, monitoring, and documentation — typically operational within 8–12 weeks.
Deploy Azure OpenAI-powered automation with RAG pipelines and human-in-the-loop controls.
We identify your highest-friction manual workflows — invoice processing, contract review, support ticket triage — and build LLM-powered automation using Azure OpenAI, vector stores, and retrieval-augmented generation (RAG).
Delivered in Agile 2-week sprints with pilot-to-production timelines of 6–10 weeks.
- Invoice extraction, contract clause identification, and support ticket classification using structured LLM output parsing.
- Human-in-the-loop approval gates to maintain compliance and quality at every step.
- Performance dashboards that track cycle-time reduction, accuracy rates, and ROI per automation.
- Private deployment on Azure with role-based access, prompt logging, and cost monitoring — no data leaves your tenant.
Replace spreadsheet reporting with governed Power BI, Tableau, or Looker dashboards.
We build reporting around the decisions your team actually makes — executive scorecards, operational dashboards, and embedded forecasting models.
- Executive scorecards in Power BI or Tableau with drill-through to operational drivers and row-level security.
- Demand forecasting and planning models built in Python or Databricks ML, surfaced directly in your BI tool.
- Automated alerting and anomaly detection that surfaces risk before it hits your P&L.
For healthcare clients, that means patient volume and revenue cycle dashboards refreshing hourly. For agriculture, yield-per-acre tracking by field. No more Monday-morning spreadsheet scrambles.
Transfer ownership with training workshops, runbooks, and 90-day post-launch support.
We follow an Agile, DataOps-aligned delivery methodology: 2-week sprints, demo-driven feedback, and documented handoff. Every engagement ends with a structured knowledge transfer, not an abrupt cutover.
Your team walks away with the skills and documentation to operate independently.
- 4-hour hands-on training workshops tailored to analysts (SQL + BI), managers (dashboard interpretation), and engineers (pipeline maintenance).
- Monthly data quality review meetings and a shared Kanban backlog for ongoing enhancement requests.
- Quarterly business review comparing platform usage against the original business case, with prioritized next-phase recommendations.
Capabilities
From Snowflake and Databricks pipelines to Azure OpenAI automation and Power BI dashboards — concrete deliverables, not slide decks.
Data Strategy & Roadmapping
Deliver a 30-60-90 day data and AI roadmap with prioritized use cases, platform recommendations (Databricks vs. Snowflake, cloud selection), and investment estimates.
Data Engineering & Integration
Build production Databricks or Snowflake pipelines with dbt transformations, Airflow orchestration, and automated data quality testing.
AI Automation Delivery
Deploy Azure OpenAI-powered automation — document processing, RAG-based Q&A, and workflow triage — from pilot to production in 6–10 weeks.
Analytics & BI Modernization
Modernize reporting in Power BI, Tableau, or Looker with governed semantic models, row-level security, and embedded forecasting.
Data Governance & Quality
Implement data quality frameworks with automated dbt tests, lineage documentation, and stewardship workflows for your critical data domains.
Enablement & Managed Evolution
Hands-on training workshops, operational runbooks, and a 90-day managed support period with monthly optimization reviews.
Why DataLeap
What sets a boutique consultancy apart from the big firms and freelancers.
Founder-Led Delivery
You work directly with a senior engineer — not a rotating team of juniors. Every engagement is personally overseen from kickoff through handoff.
Fixed-Scope, No Surprises
Every project starts with a detailed scope and timeline. You know exactly what you're getting, what it costs, and when it ships — before we start.
90-Day Post-Launch Support
We don't disappear after go-live. Every engagement includes 90 days of support with weekly office hours and monthly optimization reviews.
Industry Focus
Deep domain experience in healthcare, agriculture, financial services, and manufacturing — not a generalist shop learning your industry on your dime.
You Own Everything
All code, documentation, and infrastructure belongs to you. No vendor lock-in, no proprietary frameworks, no recurring license fees for what we build.
Fast Time to Value
Agile 2-week sprints with working demos, not months of requirements gathering. Most projects reach production in 8-12 weeks.
How We Work
A straightforward four-phase engagement model from discovery to independent operation.
Discover
Free 30-minute strategy call to understand your data landscape, pain points, and goals. We assess readiness and identify quick wins.
Scope & Propose
Within one week, you receive a detailed proposal with fixed scope, timeline, deliverables, and investment — no ambiguity.
Build & Iterate
Agile 2-week sprints with demo sessions after each sprint. You see progress, give feedback, and steer direction continuously.
Handoff & Support
Structured knowledge transfer with training workshops, runbooks, and 90 days of post-launch support with weekly office hours.
Book a Free 30-Minute Data Strategy Call
Tell me about your current data challenges. I'll follow up within one business day with a preliminary assessment and a concrete proposal for your first 90 days — no generic slide decks, no sales team handoff.
Location
Based in Sioux Falls, SD
Call Us
+1 605-370-3803
Email Us
info@dataleapsolution.com