development, DevOps automation with CI/CD, containerization, and infrastructure as code across major public clouds. Data services include database design, ETL pipelines, analytics dashboards, and machine-learning integration for practical use cases. Quality assurance spans manual and automated testing, performance testing, and release management, while support offerings include monitoring and incident response. Engagement options include project-based delivery and dedicated development teams, with knowledge transfer and documentation to help internal teams sustain the solutions.