Supported on-prem to AWS migrations by provisioning and customizing platform team accounts through automated account-customization pipelines.

Built a scalable cross-account EC2 monitoring solution, forwarding spoke-account events to a central account where a Lambda processor enriched and broadcast notifications to a unified EC2 monitoring dashboard.

Managed and optimized Account Factory for Terraform (AFT) integrated with Terraform Enterprise, leveraging the lightweight CodeStar-provisioned CodePipeline, CodeCommit, and CodeBuild projects that drive account customization workflows.

Administered a 1,000+ account AWS Organization using a hub-and-spoke model, enforcing least-privilege access through SCPs, permission boundaries, and whitelist-driven guardrails.

Delivered a scalable event-driven cost-optimization engine to detect and terminate idle EC2 instances, reducing non-production spend by 40%.

Strengthened OS-level and image security by hardening golden AMIs with AWS Image Builder, integrating package updates, security patches, CIS benchmarks, and vulnerability remediation.

Designed and implemented SaaS payment microservices with Python and FastAPI, using SQLAlchemy ORM with PostgreSQL on Amazon RDS and Pydantic models for strict request/response validation and schema generation.

Delivered high-throughput, event-driven backend services using Python and FastAPI on Amazon ECS Fargate, containerized with Docker for consistent deployments.

Ensured reliability through Pytest-based API, database, and security/authorization test coverage.

Engineered and optimized large-scale data platforms managing tables exceeding 200M records.

Enabled scalable, low-latency analytics by integrating Amazon Athena and Redshift on top of the data lake, supporting complex financial reporting and high-performance decision-making workloads across the organization.

Automated the provisioning of Amazon SageMaker notebook environments using AWS CloudFormation, accelerating machine learning development and standardizing compute environments for the data science team.

Leveraged a 12-factor-compliant microservices architecture on AWS Kubernetes Clusters for scalable deployment, automated CI/CD with GitHub Actions, and implemented Prometheus for monitoring and the ELK stack for centralized logging and diagnostics.

Developed and maintained key API components for a Fintech bank, including Faster Payments, SEPA, CHAPS, Open Banking API, and EBICS, ensuring compliance with coding standards, industry best practices.

Built and deployed containerized RESTful APIs using Java 11, JWT, Swagger, Spring Boot, and Python to enable seamless integration with external systems and enhance the bank's payment services.

Managed Oracle WebLogic clusters within the BSS/OSS ecosystem, optimizing architecture, high availability, scalability, and deployments.

Improved service quality and efficiency across OSS/BSS systems by implementing automated sanity checks with HDM web services, Java, Python, and Pandas, enabling early detection of issues and reducing ticket resolution time by 15% through proactive troubleshooting and enhanced data handling.

Developed an automation tool that communicates with SOA services to identify and remove redundant devices from the network, resulting in a £1.8 million savings in license fees within the BSS/OSS framework.

Contributed to a Home Device Management project for OSS/BSS applications, using Oracle WebLogic, Oracle Database, Java, and TR-069 protocol to support telecom clients like AT&T, Saudi Telecom, and Turk Telecom.

Enabled efficient remote device management across large networks, optimizing operational scalability and reliability.

Developed and integrated business workflows to transform multiple SOA services into a unified SOA solution, supporting customized inputs for diverse business needs.

Leveraged Oracle BPM, Java, and Oracle WebLogic in the Oracle Fusion Middleware environment to ensure efficient integration and high performance of SOA services.