Born in Argentina and living in Barcelona, I’m a 28 years old Information Systems Engineers (graduated at UTN, Argentina).
I love what I do and do it well. Accepting challenges and working hard until goals are achieved is the way I handle whatever task is ahead.
For more than 8 years I’ve been working in technology: I started as a developer and building my own websites, and this has led me to now lead a multidisciplinary team in one of the most renown online advertising companies in LatAm.
Combining a strong technical knowledge with good communication and business understanding skills, I help companies reach their goals through technology.
The online advertising industry is the one where I’ve been challenged the most: I have been working in it for over 5 years, building platforms that handle billions of events per day and generate GBs of data that need to be processed in real time.
Passionate, self motivated, creative, self taught, good communication skills, focused on business results.
Specialties: Cloud Infrastructure, AWS, big data platforms, real time analysis, advertising platforms, low latency applications, team building, project management, IT management, high availability platforms, ad-tech.
Presentation : Size does matter: How to build a serverless petabyte scale database
Yes, it matters!
Learn how to combine some of the most amazing AWS services to build a petabyte scale database able to store and retrieve billions of records per day without spending a lot of money.
Best of all, we won’t need a single server running!
Creating a new database sounds like reinventing the wheel, right?
There are a lot of well known commercial and non commercial database engines out there, but the question is: how many of them can handle several PBs of data without spending a lot of money? What about doing it in a serverless way?
In this talk I will show you how to combine some of the newest and more sophisticated AWS services to build a completely inexpensive, 100% serverless key-value database, able to store several PBs of data keeping costs under control and problems out of your way.
- Data processing Lambda architectures
- Multi-level cache
- File formats: CSV, Parquet, ORC
• Building serverless applications on top of AWS: S3, SQS, Lambda Functions and Athena.