Multi-Cloud DevOps Infrastructure Engineer with over three years of experience managing cloud infrastructure, automating workflows, and optimizing deployment pipelines. I hold the GCP Professional Cloud Architect, AWS So…
Multi-Cloud DevOps Infrastructure Engineer with over three years of experience managing cloud infrastructure, automating workflows, and optimizing deployment pipelines. I hold the GCP Professional Cloud Architect, AWS Solutions Architect Certification and the AWS AI Cloud Practitioner Certification. Additionally, I am certified in HashiCorp Terraform and GitHub. My expertise includes AWS, Azure & GCP cloud management, Jenkins-driven CI/CD orchestration, and leveraging SonarQube for code quality assurance. I excel at integrating APIs for streamlined resource provisioning and management, implementing robust backup strategies, and ensuring system reliability. With a proven ability to collaborate with cross-functional teams, I deliver scalable, secure, and efficient infrastructure solutions that align with business goals while maintaining a strong focus on automation and performance optimization.
Worked on a data pipeline solution built for client Johnson & Johnson MedTech on AWS to handle complex data ingestion, processing, storage and visualization requirements.
Ensured efficient data management, security and scalability while meeting EUMDR compliance standards.
Architected and operated Kubernetes-based platform on EKS including cluster provisioning with Terraform and eksctl, Helm-based application delivery, and GitOps deployment flows.
Implemented RBAC, network policies, horizontal pod autoscaling (HPA), and rolling updates to achieve 97.9% service availability.
Built a Python and PySpark-based solution integrated with AWS Glue jobs to handle real-time notifications for events such as Submission, HealthAuthorityState, Ingestion, and Validation.
Automated daily executions using Airflow DAGs.
Implemented Basic Authentication with AWS API Gateway and Lambda functions.
Implemented centralized monitoring and observability stack using Prometheus and Grafana on Kubernetes.
Deployed the kube-prometheus-stack via Helm.
Configured exporters including node_exporter and kube-state-metrics.
Authored recording rules and alerting rules using Alertmanager.
Built role-specific Grafana dashboards for SRE and Product teams.
Designed and implemented an API to onboard customers fetching data from MDR.
Leveraged AWS API Gateway, ALB, Glue, and Athena to provide tailored responses and file deliveries per client requirements.
Employed Terraform for Infrastructure as Code to orchestrate IAM roles, policies, CloudWatch Log Groups, DynamoDB tables, S3 buckets with ACL and encryption, AWS Lambda functions, Glue Jobs, SQS, API Gateway, AWS Data Firehose, and VPC configurations including security groups and subnet IDs.
Engineered a resilient disaster recovery pipeline that guarantees high availability across two AWS regions concurrently.
Performed routine testing and validation of the disaster recovery pipeline to ensure readiness and operational effectiveness.
Designed and implemented CI/CD pipelines utilizing Jenkins and YAML scripting across six distinct environments: PREDEV, DEV, DEVSIT, SIT, UAT, and PROD.
Incorporated SonarQube for comprehensive static code analysis.
Managed version control through JFrog Artifactory.
Designed and implemented CI/CD workflows in Azure DevOps Pipelines for both ASP.NET and Python migration projects.
Leveraged Azure Resource Manager templates for automated infrastructure provisioning.
Integrated Azure Application Insights for end-to-end monitoring, including telemetry, error tracking, and performance metrics.
Managed secrets and configuration securely using Azure Key Vault referencing it in the YAML script in the Azure pipeline to deploy securely.
Configured and maintained Azure SQL Database instances for application data storage, including migration tasks and performance tuning.
Managed the AWS Cloud Management Console, ensuring optimal performance, security, and reliability.
Designed and built a Centralized Data Repository within the R&D Data Backbone to consolidate data from diverse sources such as MDS&R, MDRIM, ANSPACH, RAD, USROTC, WindChill, IoT Cloud (DSP), and ECM systems.
Implemented Secrets Manager with Customer Managed Keys (CMK), S3 encryption, and CloudWatch log encryption for AWS Glue jobs and Lambda functions.
Constrained IAM roles and policies to defined access parameters, eliminating the use of wildcard entries to enhance security.
Led the end-to-end migration of AWS-based data pipelines and applications to Google Cloud Platform, ensuring zero-downtime cutover and security compliance.
Rehosted EC2 workloads onto Compute Engine managed instance groups.
Migrated S3 to Cloud Storage via Storage Transfer Service.
Converted AWS Glue PySpark jobs to Dataproc clusters orchestrated by Cloud Composer.
Reimplemented Lambda functions as Cloud Functions.
Reimplemented API Gateway logic as Cloud Endpoints.
Containerized services on GKE Autopilot.
Transitioned RDS instances to Cloud SQL with Database Migration Service.
Transitioned Athena queries to BigQuery.
Codified infrastructure using Terraform’s GCP provider.
Rebuilt CI/CD pipelines in Cloud Build and stored artifacts in Artifact Registry.
Enforced security through IAM roles, Secret Manager, Cloud KMS, and VPC firewall rules.
Implemented observability via Cloud Monitoring and Logging.
Developed robust backend logic using Node.js to handle customer data, program transitions, and reward processing.
Designed and optimized complex queries in PostgreSQL to manage data flow efficiently.
Integrated data pipelines to facilitate seamless data ingestion, transformation, and retrieval from AWS Redshift.
Delivered tasks aligned with Acceptance Criteria as per product line requirements.
Maintained updated JIRA ticket statuses to track progress efficiently.
Provided accurate time estimations for tasks and consistently logged development hours.
Supported QA, UAT, SIT, and MTP phases by addressing issues, debugging errors, and refining backend logic.
Effectively communicated potential risks, blockers, and technical challenges to Scrum Master and Release Manager to ensure smooth project flow.
Worked on data pipeline solution, Kubernetes architecture, real-time event notification service, monitoring & observability, MDR DOWNSTREAM API, automation and networking, disaster recovery, CI/CD, Azure data migration project, and Velys product configuration project
Executed scripting tasks utilizing the Python programming language, leveraging various libraries for enhanced functionality.
Worked in collaboration with cross-functional teams to develop and implement solutions using NumPy, Matplotlib, scikit, and Seaborn.
Led automation initiatives utilizing AWS CLI.
Gained exposure to a variety of AWS technologies.
Executed scripting tasks, collaborative development, automation initiatives using AWS CLI
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