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Build scalable backend services in Java with Spring Boot, Hibernate, and Apache Camel, deploying on AWS/Google Cloud and using NoSQL databases like MongoDB.
Build and maintain backend services in Golang, design PostgreSQL databases, and collaborate on scalable, secure microservices while applying clean-code practices and CI/CD.
Builds and maintains backend services, APIs, and microservices infrastructure using Node.js, Redis, Kafka, RabbitMQ, and APM tools.
Builds and maintains .NET 8/ASP.NET Core web apps with React frontends, REST APIs, SQL Server databases, and EF Core data access.
Builds and maintains scalable web apps using Laravel/Lumen, Java Play, and React JS, integrating REST services and PL/SQL/ETL pipelines.
Build and maintain a high-performance, distributed PHP system using Yii and SQL/NoSQL databases, focusing on scalability and reliability.
Builds and maintains Java-based backend services using NoSQL databases and cloud platforms, with Spring Boot and Git workflows.
Designs and optimizes data pipelines, warehouses, and ETL/ELT processes to deliver scalable data solutions for business insights.
Builds and maintains data pipelines using Python, SQL, and Azure Data Factory to transform raw data into structured formats for analytics and reporting.
Designs and builds data pipelines, warehouses, and models to integrate and transform business data for analytics and reporting.
Builds and maintains big-data pipelines and ETL workflows to turn raw manufacturing data into dashboards and analytics that drive operational efficiency in a pharmaceutical company.
Build and maintain ETL pipelines and data warehouses using SQL Server, SSIS, and cloud tools to move and transform enterprise data.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Builds and maintains data pipelines, ETL processes, and SQL-based data warehouses using Microsoft SQL Server and SSIS to integrate, transform, and optimize business data for telecom and system integrator clients.
Build and maintain a scalable data platform using PySpark/Python and Azure, integrating CRM/ERP/SaaS data into a lakehouse architecture for reliable analytics and Power BI reporting.
Builds scalable backend systems for marketplace order operations, focusing on returns, refunds, and settlements using Go, Python, or Java.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Build and maintain real-time data pipelines and databases for IoT, MES, and ERP systems, using Airflow for scheduled workflows and ensuring data reliability and security.
Builds and maintains backend APIs and platform services in Go and Java, using PostgreSQL, GraphQL, Redis, and Pub/Sub to power a procurement ecosystem.
Designs and maintains data pipelines and PostgreSQL databases for a manufacturing group, automating workflows with Airflow to support real-time monitoring and reporting.
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