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Builds and optimizes Snowflake data warehouses and ETL/ELT pipelines using dbt and Airflow, collaborating with analysts to deliver clean, scalable data models.
Leads a team using Microsoft Azure DevOps to build and deploy ASP.NET MVC applications, owning the full application lifecycle and CI/CD pipelines.
Leads a team using Microsoft Azure DevOps to manage cloud-based application development, CI/CD pipelines, and Agile processes while mentoring engineers.
Build and maintain Java-based AI applications and backend services using DevOps practices, secure coding, and cloud/AI tooling.
Designs and builds .NET applications with Azure DevOps CI/CD pipelines, focusing on ASP.NET MVC/Core, SQL, and front-end frameworks like Angular/React.
Designs and builds scalable data pipelines and analytics platforms on Azure Databricks, Synapse Analytics, and Microsoft Fabric to power enterprise reporting and AI/ML workloads.
Designs, deploys, and maintains scalable cloud databases using SAP HANA, Kafka, and Kubernetes, automating with Ansible/Terraform and supporting 24/7 operations.
Designs and maintains Databricks-based data pipelines and ETL processes using PySpark and SQL to ensure clean, accessible data for analytics and reporting.
Design and build Snowflake-based data pipelines and governance, using Snowpark/SQL to ingest, transform, and expose data while enabling GenAI features with Cortex AI.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Builds and maintains Java-based enterprise applications, RESTful APIs, and microservices using Java EE and OOP principles.
Builds and deploys AI/ML solutions in Python, focusing on LLMs for automated, data-driven business processes and scalable backend services.
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