We build capability,
not dependency.

Carlos started at Scotiabank, where he built an orchestrator before he'd heard of Airflow. Files from 16 countries arrived by email, were processed automatically and landed in a single consolidated dashboard. A month of work became ten minutes, and that's when he knew data was his thing.

At Geotab, working with petabytes of vehicle data on BigQuery and Airflow, he learned that data without organization doesn't work. Teams need to trust their pipelines, know where data lives and who can see it. He built Geotab's data operations department to make that happen.

As VP of Data for Advanced Technology at Ocado Technology, he made sure data from robots (telemetry, video, images and ROS bags) landed reliably in the cloud. Then he built the product metrics that sped up robot development, and cut $1.4M from Ocado's cloud bill.

He has led strategy and teams of up to 35, and he's still hands-on: a DevOps and data engineer across AWS, GCP and Azure, building pipelines in Airflow and Dagster, and writing Python and JavaScript. Today he builds the AI-native skills Data Foundations' squads work with.

Nik's path into data wasn't a straight line. After finishing his master's in the UK, he joined Ventures Platform Fund, an early-stage African VC firm, as one of its founding employees, leading corporate communications and digital marketing. He has always been drawn to hard problems, and that led him to another founding employee role at a startup that combined e-commerce and digital lottery. There, he built the digital marketing and web analytics operations from scratch.

Across both roles, he spent years manually exporting and analyzing campaign data to build reports that forecast marketing spend and fed into budgeting and financial planning. That work showed him his real passion was data and analytics, long before he earned the title of data analyst. After moving to Canada, he worked in manufacturing, supply chain, insurance, and robotics while also consulting for businesses across several continents.

At Definity, he moved data products from legacy systems to Google Cloud and helped set up self-service BI for stakeholders in the policy and claims business units. At Ocado Technology, he became the person teams relied on when things got hard: he designed solutions, led engineers, and stepped into client meetings that needed a steady hand. He masters new tools quickly enough to teach them, and has since helped enterprise data teams rebuild their data transformation layers into clean, tested models the business can trust.

Today, Nik works AI-first and stays close to the business. He leads the solutions engineering function turning raw data into clear insights that support decision-making. Hand him almost anything, and he'll figure it out.

Malu started in banking, at Citi in Venezuela and then Scotiabank, where she always worked in data and analytics. Her gift was understanding exactly what a director or senior executive wanted, often before they'd finished explaining it, and designing reports and dashboards that gave it to them clearly and quickly. She rose through the ranks to director in credit risk, and her data products delivered $8.5M for Retail Credit Risk.

She studied computer science, so she speaks the technical language, but her real strength is the business. Since joining Data Foundations, she has led the business side of our largest engagement, working directly with the VPs of an enterprise analytics team as it grew into a solid, self-sufficient function.

At Data Foundations, Malu leads customer enablement: shaping solutions from the business side, and making sure what we build is what the business actually needs and can run on its own.