Software Engineering & Development
- Design, develop, and maintain scalable, high-performance applications and services using modern frameworks such as .NET (C#), React, JavaScript, and SQL.
- Build and maintain RESTful APIs, microservices, and cloud-based architectures.
- Develop efficient database schemas, stored procedures, and optimize database performance in SQL Server and Azure SQL.
- Implement event-driven and serverless architectures using Azure Functions, Event Grid, and Service Bus.
- Write automated tests (unit, integration, functional) and ensure high code quality through best practices.
- Refactor legacy applications for improved scalability, maintainability, and cloud compatibility.
DevOps & CI/CD
- Build and optimize CI/CD pipelines for automated builds, deployments, and infrastructure provisioning.
- Implement Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep for managing cloud infrastructure.
- Automate containerized deployments with Docker and Kubernetes (AKS).
- Monitor system health, logs, and metrics using tools like Azure Monitor, Prometheus, Grafana, and ELK Stack.
- Enhance security in DevOps pipelines, integrating tools like SAST, DAST, and container security scanning.
- Improve incident response processes, leveraging automated rollback strategies, observability best practices, and Site Reliability Engineering (SRE) principles.
Data Engineering & Optimization
- Architect, design, and manage data platforms using Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL, and Azure Cosmos DB.
- Develop scalable data pipelines to process, transform, and analyze large datasets efficiently.
- Implement and maintain data catalogs, metadata management, and schema evolution for structured and semi-structured data.
- Optimize query performance and indexing strategies for big data processing, data lakes, and data warehouses.
- Develop and manage ETL/ELT workflows using Azure Data Factory (ADF) and Databricks.
- Integrate real-time data streaming and event-driven architectures using Kafka, Event Hubs, or Stream Analytics.
- Ensure data integrity, lineage, and governance, enforcing best practices for compliance and security (GDPR, HIPAA).
Cloud & Automation
- Architect and deploy cloud-native applications leveraging Azure App Services, Kubernetes, and serverless computing.
- Automate infrastructure provisioning and configuration management using Ansible, Chef, or Puppet.
- Optimize cloud resources for performance and cost efficiency, ensuring scalability and resilience.
- Integrate third-party APIs and cloud services to enhance functionality and interoperability.
- Evaluate and implement emerging cloud and data technologies to improve system performance and maintainability.
Collaboration & Leadership
- Work closely with engineering, DevOps, and data teams to design end-to-end solutions that align with business objectives.
- Lead technical discussions and contribute to architectural decisions to ensure scalability and performance.
- Mentor junior developers and engineers, providing guidance on best practices, troubleshooting, and system architecture.
- Document internal systems, APIs, and best practices to foster knowledge sharing.