I am a Senior Data Engineer with over 20 years of experience in Backend Solutions, migrating and building data lakehouses in the main four cloud providers: Amazon Web Services (AWS), Azure, Microsoft Fabric, and Google Cloud Platform. I have experience developing data solutions in Python, Spark, Scala, C#, Powershell, and SQL.

I have more than 15 years of working with relational databases like SQL-Server, Postgres, Aurora DB, Oracle, MySQL, and non-SQL environments such as Cosmos DB, Dynamo DB, MongoDB, and Couchbase, using ElasticSearch as well, and more than 6 years working with best known MPP compute-base databases: Databricks, Snowflake, GCP BigQuery, Azure Synapse, and AWS Redshift, using different data-driven tools like Python DBT, Fivetran, among others.

I incorporated solutions built-in microservices platforms like Docker Swarm, Docker Compose, and Kubernetes, plus Machine Learning Solutions and AI Large Language Model Meta AI (LLama) to automate supervised predicted NLP programs, using PyTorch, Keras, Tensorflow, K-means non-supervised models. At the level of data architecture, I usually work over a Lambda system that combines streaming near real-time data using Apache Kafka, AWS Kinesis, Azure Event Hubs and Stream Analytics, Confluence IO, and serverless batch processes using message queues, like Rabbit MQ and Azure Queues, or Amazon SNS

I am also a Project Manager Professional since 2010, combining both leadership and management skills with technical low-level programming disciplines.