Responsibilities & achievements

I was part of the MLOps team. In this role, I was responsible for designing and developing various components to support the MLOps frameworks of the company. I worked with technologies such as Python, GCP Cloud, Snowflake, CircleCI, and others.

Responsibilities & achievements

I was responsible for the design and implementation of an Ingestion framework and the creation of a Data Lake using Databricks - Delta Lake. This framework handled the ingestion, transformation, and loading of data generated by a wide variety of sources. I utilized technologies such as Azure Service Bus, Azure Event Hub, Azure Blob Storage, Azure Functions, Kubernetes cluster, Databricks, Python, and other tools from the Azure ecosystem.

Responsibilities & achievements

I was responsible for leading a team of engineers that closely collaborated with the Littera team to design and build multiple integration processes for extracting and ingesting data from various internal and external sources. The objective of these implementations was to generate metrics related to relevant student information, aimed at improving student learning, reviewing students' schedules, and creating reports for different business units within the startup. Technologies employed included Python, AWS SQS, AWS Lambda Functions, AWS S3, AWS RDS, and Serverless (infrastructure as code), among others.

Responsibilities & achievements

Led a team of Data Architects collaborating closely with the Finning team to design and execute multiple integration projects for extracting and ingesting data from various internal or external sources. Spearheaded projects aiming to monitor real-time information and generate metrics required by different business teams. Utilized technologies such as Spark, Python, Databricks, Azure Service Bus, Azure Event Hub, Azure Function, among others, encompassing multiple Azure services for data manipulation and deployment.

Responsibilities & achievements

As a Technical Lead, I directed a team of Data Architects collaborating with the JnJ IT team to design and construct the Data & Analytics Framework. This framework efficiently handles the ingestion, transformation, and loading of diverse data sources, including Drupal, App Annie, HealthStore, etc. Additionally, it effectively manages data from various mobile applications such as Knees and Hips, Bariatrics, HCP Journal, utilizing technologies like Oozie, Sqoop, Hive, Impala, Spark, Scala, Java, Bash Script, and Presto across Cloudera and AWS solutions.

Responsibilities & achievements

• Manager of Software Engineering: I was responsible for managing the team tasked with creating the new version of the Sistema de Operación Real for CDEC SIC. This system is designed to store and manage all information related to the electric power generation of Chile. Technologies employed included Python, PostgresSQL, and Bash Script. • Big Data Architect: I served as a consultant responsible for defining standards for Big Data processes at Banco Santander Chile. These processes would run on their Cloudera Cluster, utilizing technologies such as Java, Hadoop, Hive, Oozie, and Sqoop (Cloudera). • Software Engineer: I took on the role of designing and developing a C# application that integrated the information systems of power generation plants from Colbún and ENEL with the Central Grid Power database (http://www.cdecsic.cl). Technologies utilized included C# and OracleSQL. • Technical Lead: In this capacity, I was responsible for designing the new architecture for a real-time tracking system and a route optimization system. Technologies involved were Node.js and MongoDB.

Responsibilities & achievements

Responsible for constructing a multi-layer solution to gauge engaged time spent on online video viewing. Contributed to the team that devised and implemented a new architecture for measuring traffic across various sites, retrieving information on device types, connection types, and geographic locations. Accountable for building internal libraries and data structures to enhance the memory usage and speed of various Java Hadoop and Pig processes. Defined standards for creating Java Hadoop and Pig applications utilized by the Chilean Core Processing Team. Technologies: Java, Hadoop, Pig, Greenplum/SQL (Data Warehouse), Bash Script.

Responsibilities & achievements

Led the team that created a management system for customer complaints and proceedings for EDENORTE (Dominican Republic Electrical Company). Additionally, developed a system to manage electrical losses for EDENORTE. Technologies used: PHP, JavaScript, MySQL.

Responsibilities & achievements

Developed software for risk prevention in forest companies, enabling the identification of operators in danger zones during specific operations in the forest field. Additionally, designed and developed a system for managing Research Centers. Technologies used: Java, PHP, JavaScript, MySQL.