Finance BI

We build modern data infrastructure on Azure

Building on the cloud is hard. But it can give your company the flexibility it needs to do business in this fast changing world.

We can help you build a solid, flexible and cost-effective solution.

We are experts in Microsoft Azure and Databricks solutions, and have helped over 50 companies in their transformations across the years.

Ready for data to speed up your business instead of slowing it down? Let’s chat

Owner and Azure Data Consultant

Data Walnut

You worked hard to get your B2C e-commerce store off the ground. And now it’s doing well

But what is the potential of your store: how much better can it do ?

What would happen if you knew the customer lifetime value and could segment your customers ? 
And then find the best action for each segment?
What would happen if you knew the ROI of your marketing campaigns ?
What would happen if you knew the customers at risk of churn and how to retain them ?

You already have all the data, now it’s about getting your data to work for you.

Let’s take your store to the next level together

Founder

L'Oréal

Data and Finance Manager

Unilever

Strategy Analyst

Golder Associates (Italy)

Controller

Academy of Math and Science (USA)

Accountant/Controller

CPA turned Data Engineer: cut data crunching by 10 hours/week with automated processing and data quality checks ⚡️Azure - Databricks - Power BI

I can help you leverage your data in 2 ways:

1- Consulting activity: Azure data consulting
I help companies build a modern data infrastructure (data lake, data warehouse) on the Azure cloud.
Expertise: Azure, Synapse, Databricks, SQL, Python, Power BI

2- Data product: help e-commerce sites with customer retention
My solution helps e-commerce sites segment their customers, approach the segments differently and increase retention.
Expertise: Customer lifetime value, customer retention, customer upsell, B2C e-commerce.

Luca Zanna

DataCamp

Building AI engineering courses to help software engineers and data professionals navigate the evolving world of LLMs and AI systems. I design practical learning experiences on the latest tools and technologies, working closely with expert instructors throughout the process. 

From researching topics, outlining courses, and finding the best ways to present complex information, I focus on making AI concepts accessible and engaging.

AI Engineering Curriculum Manager

Driving the creation of engaging and high-quality content on analytics, data engineering, and AI. I lead a team of freelance writers, collaborate with marketing experts, and drive organic traffic by delivering valuable educational resources. 

My role involves crafting compelling content briefs, ensuring timely publication, and enhancing the learning experience for our global community.

Senior Data Engineering Editor

LinkedIn

• Crafted and launched two data engineering courses, managing the end-to-end process from initial concept to scripting to recording. Attracted 25,000+ learners to date, receiving excellent reviews with an average of 4.7 out of 5 stars.
• Assembled the course modules in collaboration with experienced content producers.

LinkedIn Learning Instructor

Airbyte

During my time at Airbyte, I achieved the following: 

• Designed and executed content strategy for the "Data Engineering Resources" blog, driving tens of thousands of monthly page views and increasing conversions and leads via detailed keyword research, precise editing, and managing publication schedules.
• Implemented Quickstarts, an example library streamlining data stack deployment to 20 minutes; established contribution guidelines and expanded the library to 20+ projects by fostering community engagement via a hackathon.
• Authored influential thought leadership articles on data engineering core concepts and the modern data stack, featured on the front page of HackerNews, increasing web traffic, reader engagement, and positioning Airbyte as a domain authority.

Data Engineer & Content Strategist

Glovo

During my time at Glovo I achieved the following:

• Enhanced Data Warehouse ETL efficiency with incremental loading and parallel processing, increasing throughput by 50% , facilitating a multi-tiered storage with robust metadata management; authored key technical/architectural documents.
• Implemented Braze attributes data accuracy initiative, reducing error rates to under 5% , enhancing company-wide OKRs.
• Co-developed the company's first Data Lake, used by Marketing and Product Development, and engineered a database pipeline that increased processing speeds by 20% , overcoming operational issues faced by Data Engineering.
• Designed and conducted the interview process for Data Engineer candidates, hired and onboarded 7 engineers, and provided mentorship and technical expertise to the new hires, data scientists, and BI analysts.

Data Engineer

MARKABLE

Markable.ai produces computer vision technology that identifies fashion products in photos and videos. During my time there I achieved the following:

• Streamlined the creation of datasets by training and managing third-party data annotation providers, and automated the collection of image data, expanding the dataset by 200% using a Python/Node.js framework.
• Optimized ETL pipeline scalability with parallel processing and cloud-based data storage, maintaining performance.
• Created data visualization dashboards with interactive reporting for analyzing image datasets; integrated via REST APIs.

The Data Incubator

Intensive 8 week fellowship that prepares Masters and PhDs in STEM fields seeking industry careers as data scientists.
• Selected over 3,000+ applicants, only 2-3% acceptance rate.
• Relevant coursework: web-scraping, advanced machine learning, NLP, time series analysis.

Data Science Fellow

Oracle

- Developed essential solutions for Oracle Public Cloud strategy.
- Focused on Cloud application areas such as Subscription Plan Management, Service Provisioning, Metered Services, and Billing for SaaS, PaaS and IaaS services.
- Collaborated closely with business teams on a daily basis.

Software Engineer

Intel Corporation

- Designed and verified communication interfaces of Intel processors, in the Pre-silicon Logic Verification team.

Hardware Engineer

I'm an engineer who enjoys creating learning experiences. Over the past ten years, I’ve built everything from software systems to data pipelines. I have a Master's in Computer Science and have been lucky to work at both big companies and startups in three different countries.

These days, I'm an AI Engineering Curriculum Manager at DataCamp, where I get to combine my technical background with my love for teaching. I focus on creating practical learning experiences that help developers and data scientists navigate the world of AI engineering. There's nothing I enjoy more than taking complex technical concepts and breaking them down into something that actually makes sense. 

Along the way, I've written blog posts that made it to the front page of HackerNews, built courses that people actually want to take, and created GitHub repos that developers find useful. Those moments when someone finally "gets it" – that's what keeps me going.

I enjoy working with people from different backgrounds and cultures because I believe the best ideas come from diverse teams working together. Being fluent in both Spanish and English helps me connect with learners from all over the world and create more inclusive learning experiences.

taplio

The Battle

Luca Zanna

Thalia Barrera

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?