Lisandro Cocca.
Draftea · senior leader.
I can offer data architecture design, analytics engineering, and data-driven culture building. Right now I'm looking for teams building their data foundations from scratch.
As data and AI become central to every startup's competitive advantage, Lisandro's hands-on experience building data infrastructure from scratch at a Sequoia-backed startup is highly relevant.
- Data warehouse architecture from scratch (Snowflake, dbt, Airflow)
- End-to-end data pipeline design (batch and streaming)
- Data-driven culture implementation and agile data teams
- Analytics engineering best practices and tool selection
- Transitioning from engineering to data/AI careers
- Teams building data infrastructure for high-growth startups
- Founders who want to establish data-driven decision-making culture
- People interested in the gaming/betting data ecosystem
Lisandro Cocca
Data & Analytics Lead @ Draftea
Lisandro made a deliberate career pivot from Mechanical Engineering (with the best GPA in his class) to data and AI. This shows intellectual courage and genuine conviction in data as a transformative force.
Self-described as 'highly proactive and responsible,' viewing life as 'an incredible opportunity to grow.' Lisandro approaches every challenge as a learning opportunity and actively seeks the next frontier.
At Draftea, Utoppia, and Reba, Lisandro consistently built data infrastructure from scratch. He thrives in greenfield environments where he can architect systems from the ground up.
With a 9.40/10 GPA, a DAAD exchange in Germany, Deep Learning certifications, and fluency in 4 languages, Lisandro combines academic excellence with continuous self-education across disciplines.
A passionate advocate for agile methodologies, Lisandro believes deeply in iterative development, team collaboration, and continuous improvement. He builds through collective effort, not solo heroics.
Lisandro strongly believes that 'a Data-Driven mindset will be a key driver in shaping the transformation of our society.' He sees data not just as a tool but as a fundamental force for better decisions.
Weaknesses are shown on purpose. A low score is a matching signal, not something to hide.