Data & AI Practitioner · Enterprise Architect

Turning complex enterprise data into scalable, real-world Lakehouse implementations.

Nicanor Medina

Director of Pre-Sales · Financial Services SME - Databricks Evangelist

13+

YEARS OF EXPERIENCE

4

DATABRICKS CERTIFICATIONS

19

DATABRICKS PROJECTS SOLD + IMPLEMENTED

+3

NEW ACTIVATED LOGOS FOR DATABRICKS

As the Director of Pre-Sales Engineering at SunnyData, I am deeply committed to driving the adoption and success of the Databricks Lakehouse Platform across LATAM. My journey is defined by a passion for innovation, a hands-on technical approach, and a strong belief in the transformative power of data and AI. I serve as a dedicated advocate for the Databricks ecosystem, combining technical depth with commercial acumen and a desire to empower organizations through cutting-edge data strategies.

ABOUT

NEW DATABRICKS LOGOS

Thought leadership

Published content

Practical insights on Lakehouse architecture, platform migrations, and data engineering, written from the trenches, not from theory.

Ecosystem engagement

I support growth across LATAM by engaging customers, partners, and practitioners through events, technical sessions, and conversations that turn platform interest into adoption.

Enterprise Success Stories

Case studies

Architectures that shipped.

Enterprise implementations led by Nicanor Medina at SunnyData — from initial pitch to production go-live.

FT
Farmatodo
Pharmacy chain · Latin America
The challenge
Post-Looker migration left Farmatodo with an underperforming Databricks AI/BI layer — slow queries, poor semantic structure, and limited self-service access for 100+ business users.
Architecture delivered
Databricks AI/BI Delta Lake Semantic layer Dashboard governance
60–70%
reduction in query times
400+
users on faster dashboards
100+
business users self-serve BI
DN
dichter & neira
Market research · AB InBev, Coca-Cola, Nestlé
The challenge
A LATAM research firm managing retail datasets for competing global brands needed strict data segregation, automated QA, and natural language access — on their existing Databricks platform.
Architecture delivered
Unity Catalog AI/BI Genie Data segregation Automated QA
2X
system efficiency improvement
65%
accuracy gain via automated QA
NL AI
Agent for retail dataset queries

People Who Can Speak to My Impact

My impact is reflected not only in the projects delivered, but in the people I have worked with across with partners and customers on Databricks initiatives. These leaders can validate my contribution to technical strategy, customer adoption, and regional ecosystem growth.

Validated by Databricks MVPs

LET’S GET STARTED

Recognizing the impact already being created — and the momentum still ahead for Databricks across LATAM.