Prathamesh Deshpande

Software Engineer

Pune, Maharashtra, India4 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building cloud-native microservices on AWS and GCP.
Designed unified RBAC model for secure automation.
Proven track record in optimizing cloud infrastructure.

Stackforce AI infers this person is a Cloud Engineer specializing in SaaS solutions with expertise in IAM and microservices.

Contact

prathamesh_deshpande@homedepot.com LinkedIn

Skills

Core Skills

Cloud EngineeringIamInfrastructure As Code

Other Skills

.NET Core.NET FrameworkAPI DevelopmentASP.NETASP.NET CoreASP.NET MVCAWSAmazon OpenSearchAmazon Web Services (AWS)Artificial Intelligence (AI)AutomationBigQueryBootstrapBuildkiteBuildkite Integration Pipelines

About

I’m a Golang & Cloud Engineer with 3+ years of experience building cloud-native microservices, IAM solutions, and event-driven architectures on AWS and GCP. At Siemens, I contributed to the BuildingX Core1 team, where I: • Migrated user-search & user-stats from DynamoDB to Amazon OpenSearch, drastically reducing UI latency for tenants with thousands of users. • Designed Machine Users and unified human + machine usergroups into a single RBAC model, simplifying IAM and enabling secure automation. • Enhanced the Subscription Service with tagging, partitioning, and filtering, giving customers more flexibility and scalability. I’m certified as a GCP Cloud Architect & DevOps Engineer, skilled in Terraform, Kubernetes, and CI/CD automation, and passionate about delivering scalable, production-ready systems that solve real business problems.

Experience

4 yrs 5 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 9 mos

Current Experience

Siemens

Software Developer

Sep 2024 – Present · 1 yr 9 mos · Pune, Maharashtra, India · Hybrid

🚀 Part of the BuildingX Core1 Team (User & Subscription Services), building cloud-native solutions for enterprise smart building platforms.
Some of the achievements:
Migrated user-search & user-stats from DynamoDB → Amazon OpenSearch, cutting UI latency for thousands of users.
Designed Machine Users & unified human + machine usergroups into a single RBAC model, enabling secure automation.
Enhanced Subscription Service with tagging, partitioning & filtering, boosting scalability and flexibility.

GolangAWSGCPIAMEvent Driven ArchitectureMicroservices+3

Persistent systems

3 roles

Senior Software Engineer

Jun 2024 – Sep 2024 · 3 mos

Software Engineer

Jun 2022 – Jun 2024 · 2 yrs

Platform Engineer (Golang)
🌐 Terraform Enterprise Management: Managed the Terraform Enterprise PaaS, handling infrastructure and deployments.
💻 Feature Development: Built and deployed multiple features in Golang, maintained GKE clusters, and managed VMs running various services.
💰 Cost Optimization: Developed code for cost optimization dashboards, integrating data from Terraform Enterprise to BigQuery using Golang.
🛠️ API Development: Created REST APIs to validate functional domain names, list GCP services, and enhance existing workflows to better meet customer needs.
🔒 Sentinel Policies: Collaborated with stakeholders and the security team to write and implement Sentinel policies.
📝 Docker Logging Solution: Resolved the Docker 16k log issue by fetching logs directly from the Sentinel service, bypassing Docker logs, and dumping logs into GCP sinks for storage in GCP logging buckets.
📦 CI Pipeline Creation: Created a production-ready pipeline in Buildkite (YAML-based CI) to push Terraform code to Terraform Enterprise. This pipeline automated everything from uploading Terraform configuration files to planning and applying code, deploying to three environments (sandbox, dev, and prod) based on the branch.
Cloud Engineer
🚀 Migration Projects: Did the migration of infrastructure from AWS to GCP for two major projects, utilizing AWS services such as EKS, EC2, S3, CloudWatch, and Route 53, and their GCP counterparts including GKE, GCE, GCS, GCL, and Cloud DNS.
🔄 Lambda to Cloud Functions: Migrated Lambda-based applications (e.g., compression services) to Cloud Functions, involving significant code refactoring in Python.
📊 Monitoring Dashboards: Set up monitoring dashboards in Google Cloud Logging (GCL) to meet client requirements.
🔧 Infrastructure as Code: Deployed infrastructure using Terraform, ensuring a seamless and efficient migration process.