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Argentina

New York, United States

New York, United States

As a part of the Data Attribution team I designed and implemented systems for ingesting, transforming, storing, and delivering data from a wide range of sources at scale, to enable us to associate digital assets (domains, networks and IPs) to companies on a continuous basis.The attribution team maps and discovers the maximum attack surface of a company (that black hat hackers could exploit) in order to be used as source of truth for cybersecurity risk scoring.- Led the… Show more As a part of the Data Attribution team I designed and implemented systems for ingesting, transforming, storing, and delivering data from a wide range of sources at scale, to enable us to associate digital assets (domains, networks and IPs) to companies on a continuous basis.The attribution team maps and discovers the maximum attack surface of a company (that black hat hackers could exploit) in order to be used as source of truth for cybersecurity risk scoring.- Led the development of the incremental data pipelines that allowed us to reduce latency from days to minutes. This meant refactoring Apache Spark batch data pipelines to use CDC (change data capture) on our data lakehouse processing data as it arrives.- Drastically reduced data pipeline costs saving hundreds of thousands of dollars on multiple occasions. Show less

Worked on a DSP (Demand Side Platform) that handled over 1.2M RPS with a P99 below 40ms and a 10PB+ Data Lakehouse: - Managed, built, co-designed and maintained a 10PB+ Data Lakehouse.- Optimized training and feature extraction pipelines. Reduced time to train by 3x and feature extraction by 5x improving developer experience while also dropping compute costs by 60% for those pipelines.- Cut storage costs from our entire platform by 50% over the course of 6 months.- Migrated… Show more Worked on a DSP (Demand Side Platform) that handled over 1.2M RPS with a P99 below 40ms and a 10PB+ Data Lakehouse: - Managed, built, co-designed and maintained a 10PB+ Data Lakehouse.- Optimized training and feature extraction pipelines. Reduced time to train by 3x and feature extraction by 5x improving developer experience while also dropping compute costs by 60% for those pipelines.- Cut storage costs from our entire platform by 50% over the course of 6 months.- Migrated most our data and machine learning pipelines from us-west-2 to us-east-1 over the course of 8 months. While also drastically dropping Nat and Data transfer costs (after this migration, these costs were close to 0)- Helped and provided support to several squads about data pipeline & data infrastructure best practices. Show less

Mainly focused on building Zelig, a data-driven product that offers recommendation and hyper-personalization services for retail and banking industries. I worked on building our cloud data systems. This includes pieces of software such as an event streaming platform, an in-memory data store, a document-oriented database, a search engine, batch and stream processors, a time series database, our recommendation engine and our pipelines & services.

I was part of the team in charge of developing, optimizing, scaling and maintaining a payment gateway that processed millions of transactions per month.- Developed Rest APIs & Microservices for different integrations and payment methods.- Helped design and implement a Minimum Viable Product for a new business case. - Collaborated with diagnosis and troubleshooting of different production issues.- Worked with UX designers in order to build payment forms.Technologies… Show more I was part of the team in charge of developing, optimizing, scaling and maintaining a payment gateway that processed millions of transactions per month.- Developed Rest APIs & Microservices for different integrations and payment methods.- Helped design and implement a Minimum Viable Product for a new business case. - Collaborated with diagnosis and troubleshooting of different production issues.- Worked with UX designers in order to build payment forms.Technologies used: Scala, Akka, Play Framework, Redis, Kafka, Spark, MySQL, ELK, Docker, Marathon + Mesos, React & Redux. Show less