Yasid Moreno
@yasidmoreno
Senior Full-Stack Software Engineer with expertise in AI-driven applications.
What I'm looking for
I am a Senior Full-Stack Software Engineer with over 12 years of professional experience in IT, specializing in designing, developing, and deploying AI-driven applications. My expertise lies in integrating machine learning models into production-grade applications, focusing on performance, scalability, and reliability. I have a strong background in Big Data technologies, including Hadoop and Spark, and have successfully built cloud-native and microservices-based architectures that support modern enterprise software solutions.
Throughout my career, I have led teams in developing centralized cloud data Lakehouse solutions and AI-powered healthcare applications, significantly improving user experiences and operational efficiencies. I am proficient in automating ETL pipelines and orchestrating data workflows using Azure services, ensuring timely execution and compliance with healthcare standards. My collaborative approach and strong communication skills enable me to work effectively with cross-functional teams, driving projects to successful completion while mentoring junior developers on best practices.
Experience
Work history, roles, and key accomplishments
Senior Full-Stack Software Engineer
Highcode Tech
Dec 2022 - Present (2 years 5 months)
Led a team in designing and implementing a centralized cloud data Lakehouse on Databricks hosted on Azure. Developed and deployed AI-powered healthcare desktop applications using .NET Core and WPF, enabling enhanced user experience for medical professionals.
Senior Data Engineer
Baylor Scott & White Health
Oct 2018 - Present (6 years 7 months)
Developed real-time and batch data pipelines using Azure Data Factory and Snowflake. Migrated data infrastructure from Hadoop to Azure Cloud, enhancing BI reporting with big data capabilities.
Senior Data Engineer
ApexTech
May 2017 - Present (8 years)
Migrated fragmented data to a centralized warehouse in AWS cloud, boosting BI performance. Integrated diverse data types (CSV, JSON, XML) using Apache Spark hosted on Databricks and EMR.
Data Engineer
Pandora
Dec 2015 - Present (9 years 5 months)
Performed end-to-end Architecture & implementation assessment of various Azure services like Azure Data Lake, Azure Databricks, Azure Synapse Analytics, Azure Blob Storage, Azure Data Factory, and Azure Stream Analytics. Utilized Azure SQL Database as a metastore for storing metadata, integrating data across multiple clusters into a single SQL database to prevent data loss, even during the termina
Data Analyst & Quality Analyst
Presto Automation
May 2013 - Present (12 years)
Migrated legacy systems to Hadoop, improving scalability and performance. Designed ETL workflows using Informatica PowerCenter to extract, transform, and load data.
Education
Degrees, certifications, and relevant coursework
Holy Names University
Bachelor of Science, Computer Science
Studied Computer Science at Holy Names University, focusing on core principles and applications. Completed the program in December 2013.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Hive
Talend
Microsoft Azure
Amazon CloudWatch
Amazon S3
AWS Step Functions
GitHub
GitLab
Bitbucket
Kubernetes
Amazon EKS
Jenkins
CircleCI
PySpark
DBeaver
dbt
DB
Sqoop
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Cassandra
Hadoop
HBase
IBM DB2
Gmail
Node.js
Django
.NET Core
Next.js
.NET
Yarn
Tailwind CSS
Databricks
Redis
Terraform
Azure DevOps
Jira
Mocha
Vue.js
JavaScript
Java
ASP.NET
JSON
XML
Blazor
TensorFlow
PyTorch
scikit-learn
Kafka
RabbitMQ
Amazon SQS
WCF
FastAPI
Amazon SNS
Kibana
Azure Monitor
Amazon DynamoDB
Linux
Azure Active Directory
Trello
GraphQL
Amazon Kinesis
SignalR
Elasticsearch
AWS Lambda
Serverless
Azure Functions
Amazon RDS
Azure SQL Database
pytest
Airflow
Amazon EMR
Amazon Athena
SQL
Azure Cosmos DB
Azure Blob Storage
AWS KMS
Apache Impala
Availability
Location
Authorized to work in
Job categories
Skills
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