A Software Engineer moving to a career as a Cloud Architect specialized in Big Data Solutions. I have a strong foundation in Big Data technologies and Cloud platforms. I love data engineering and architecting solutions on AWS and Azure. Currently, I'm working on my thesis work about real-time data processing using Apache Kafka and Apache Flink.
- š± Iām currently pursuing my Bachelor's degree in CS at Havana University
- š” I'm interested in all things data: Big Data, Cloud, Data Engineering and Data Science
- š I'm also interested in general software engineering topics: Software Architecture, DevOps, CI/CD, etc.
- š„ļø Proud JetBrains user
- š¬ Talk to me about Dota 2, greek mythology, basketball, anime and anything tech related
A data ingestion, processing and analysis system that uses Apache Kafka, Spark and Flink in a distributed environment. It's my thesis work for my CS diploma, and I'm currently working on it.
An etl pipeline for a mock ecommerce website that ingests data to an Azure SQL Database, then uses Azure Data Factory to transform and filter it and then uses a Snowflake database as a sink.
An app that helps landlords manage their properties and their tenants. It's a full-stack application and my personal test suite for new tech ideas and has my personal architecture docs and best practices.
A stream processing pipeline for a mock weather data API. It uses a combination of AWS Lambda, Kinesis streams, DynamoDB and AWS Glue to coordinate the efforts of stream ingestion, processing, transforming, cataloging and storing the data
A distributed scrapper. It's a project I made with my friends to learn Go and distributed systems. It contains architecture diagrams and a lot of documentation.
A Spring Boot API made for the management of a mock vet clinic, including managing pets and appointments. It was created for me to try out Java, Spring Boot and Kafka.
A LinkedIn copycat app made with Go and Angular. This was one of my longest projects.
"The present is theirs; the future, for which I really worked, is mine."
- Nikola Tesla