Led customer interactions from project inception through full implementation, acting as both DevOps Engineer and Architect. Designed and deployed cloud-native architectures across platforms such as GCP, AWS, Azure, and OpenShift. Worked closely with clients to tailor solutions using Kubernetes, Docker, Docker Swarm, and a range of data and cloud tools. Ensured strict data compliance and optimized complex data pipelines involving SQL Server, PostgreSQL, and ETL tools. Collaborated on security and compliance by implementing encryption/decryption mechanisms for data at rest and in transit, applying Attribute-Based Access Control (ABAC) and Role-Based Access Control (RBAC) models. Project: Data Encryption Tool with ABAC and RBAC Implementation ● Objective: Implement a robust Java-based tool for encrypting/decrypting data at rest and in transit, ensuring secure data flows and compliance with access control models. ● Technologies: Kubernetes, Docker, Docker Swarm, GCP, AWS, Azure, OpenShift, SQL Server, PostgreSQL, Glue, Databricks, Jupyter Notebooks, Tableau, PowerBI, AWS Lambdas, Kafka, Flink, Zookeeper, MongoDB, Java, Python, Github. ● Tasks: Designed and deployed a cloud-native infrastructure with integrated encryption tools for data security. Implemented encryption and decryption processes for data at rest and in transit. Integrated ABAC and RBAC mechanisms to control access and permissions. Managed containerized services using Kubernetes and Docker Swarm for scalable deployment. Ensured compliance with industry standards, building data pipelines using Glue, Databricks, and PostgreSQL. ● Configured and automated Azure APIM for secure API management, rate limiting, and integration with Key Vault. Managed and optimized Azure App Services, ensuring performance, auto-scaling, and authentication via Managed Identities & Azure AD B2C. ● Optimized SQL queries, stored procedures, and indexes for better performance and efficiency. Automated datab

Responsible for model execution and deployment, ensuring smooth integration of machine learning models into production environments. Monitored model performance, created SSO metrics, and utilized Hopsworks to implement a feature store. Worked closely with data scientists to enhance model pipelines, ensuring scalability and security while implementing monitoring tools to track real-time performance and detect drift Project: Machine Learning Operations and Feature Store Implementation ● Objective: Create a scalable and secure ML infrastructure for seamless model execution and monitoring. ● Technologies: Hopsworks, Feature Store, Python, Kubernetes, AWS, SNS, SQS, Azure, Java, Github. ● Tasks: Developed pipelines for model execution and automated deployment. Implemented a feature store using Hopsworks for data management. Created monitoring systems to track model performance and generate SSO metrics. Integrated security and versioning protocols to manage model lifecycles.

Offers nearshore solutions to different companies in the IT industry. In charge of implementing DevOps principles, automation, and cloud solutions. Led the implementation of DevOps principles, automation, and cloud solutions. Conducted stakeholder interviews to elicit requirements and created business process models. Collaborated with development teams for microservices maintenance. Utilized Kubernetes with Istio service mesh for orchestration. Oversaw 5 key microservices within its onboarding, automation, and deployment.

The most successful online recruitment businesses today, world leader in online recruitment. Facilitated the implementation of a new UAT, gathering UAT requirements and coordinating development teams. Planned and allocated tasks for migration. Implemented Infrastructure as Code (IaC) resources on AWS for Docker image updates.

Number 2 solution in the world for money transfer. Collaborated with stakeholders to gather requirements for automation and conducted data analysis. Managed the maintenance of automation pipelines. Configured and rolled out firewalls (F5) and maintained Bitnami and VMware servers. Oversaw the network configuration and load balancing solutions for our on-prem DC’s.

Data maintenance for call centers, with a BI culture of metrics. Collaborated with stakeholders to gather data requirements and developed new features for ETL process optimization. Oversaw the ticketing system and was recognized as the top data issue resolution expert. Developing new features to optimize the ETL process.