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Designs and builds full-stack solutions with Angular/React, leads user-centric digital experiences, and implements Azure cloud-native architectures, serverless functions, and generative AI integrations.
Builds and maintains ETL pipelines in Azure Synapse using Python to load and transform data for analytics and warehousing.
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Build and maintain Kubernetes-based platforms for global clients, automating deployments, DNS, email infra, and observability while collaborating with remote engineering teams.
Designs and maintains scalable data pipelines and warehouses using SQL, Hadoop, and Spark to support analytics and decision-making.
Lead a team building and maintaining enterprise Java applications for credit risk, using Java 21, Angular, and microservices while mentoring developers and ensuring high availability.
Builds and maintains full-stack web apps using NestJS, TypeScript, React, and PostgreSQL; designs REST APIs, UI components, and state management.
Senior Data Engineer leading the design and deployment of automated data pipelines, ETL processes, and modern data architectures on GCP/AWS to build and scale a company-wide Data Lake.
Build and maintain scalable Python-based backend services and RESTful APIs using AWS Lambda and MongoDB, while occasionally contributing to Vue.js frontend development.
Build and maintain automated data pipelines and cloud-based data lakes to enable self-service analytics for business teams.
Builds and maintains data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Python to support analytics and GenAI initiatives.
Full-stack developer building and maintaining the SEON flow in BolsaNet using Java/Spring Boot backend and React frontend for a fintech platform.
Design and maintain data pipelines (ETL/ELT) using Python, SQL, and cloud platforms like GCP to ingest, transform, and store large datasets for analytics and data science teams.
Designs and maintains data pipelines, builds ETL/ELT workflows, and ensures data quality using Python, SQL, and cloud platforms like GCP, AWS or Azure.
Build and modernize enterprise apps using Java/Spring Boot and .NET, migrate monoliths to microservices, and integrate AI features with Microsoft tools.
Build enterprise web apps using Python (FastAPI/Flask/Django) and React, deployed on AWS with CI/CD and DevOps practices.
Build and maintain scalable data pipelines and cloud infrastructure using PySpark and Databricks on Azure/AWS/GCP for enterprise clients.
Maintain and extend healthcare software systems using Angular, .NET, Node.js, and SQL, ensuring secure and efficient development practices.
Build and own end-to-end data pipelines in Snowflake and AWS, modeling billions of records into bronze, silver, and gold layers to power business insights and AI agents.
Build and maintain enterprise-grade web apps using Java 17/Spring Boot backend and Angular 17 frontend, with SQL/MySQL databases and AWS cloud services.
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