Harshad Patel

• Defined cloud architecture for both hybrid and non-hybrid cloud solutions.
• Provided solution designs to meet system strategies, capabilities and technologies and to respond to current and future business requirements.
• Monitored and tested application performance to identify potential bottlenecks, develop solutions and collaborate with developers on solution implementation.
• Utilized code and modern cloud-native deployment techniques to design, plan and integrate cloud computing and virtualization systems.
• Identified, analyzed and resolved infrastructure vulnerabilities and application deployment issues.

• Worked for a Leading Clinical Research and Education nonprofit institution to accelerate DevOps by developing a Developer's experience platform
• Role: Developed and managed large-scale DevSecOps on GCP using ADO and Terraform
• Technical Environment: GCP, Cloud functions, Cloud workflow, Azure DevOps, Terraform, Pub/Sub, Cloud Run, VPC-SC, Cloud SQL.
• Architected and developed the data pipelines on GCP using Dataflow and Cloud Composer
• With the help of 5 data engineers, completed the migration of around 100 PB of data from onprem to GCP
• Developed multiple generic streaming pipelines for clients, which is internally consumed by multiple teams

• Company Overview: Industry: Financial Services Institution, Service Line: Cloud Engineering
• Architected and developed the cloud-native applications
• Converted multiple monolithic applications to microservices and deployed in GKE
• Development and maintenance of the gitops framework for the cloud-native applications
• Industry: Financial Services Institution, Service Line: Cloud Engineering
• Role: Senior Cloud Engineer
• Technical Environment: GCP, Cloud functions, Cloud workflow, GKE, Terraform, Pub/Sub, Cloud Run

• Company Overview: A famous fast-food chain with over 900 stores across the USA
• Data migration and modernization
• Building scalable data pipeline using dataflow and warehouse for storage/reporting
• Building the looker reports
• I have written a dataflow job to load the data from GCS to BQ, BQ to BQ/Spanner, On-prem relation DB to BQ/GCS
• Approximately 8-10 million records were loaded in each batch run
• A famous fast-food chain with over 900 stores across the USA
• Role: Responsible for end-to-end delivery of engagement
• Design and development of warehouse and data pipelines
• Technical Environment: Spring Boot Microservices, Google Cloud Storage, Cloud Dataflow

Roles and Responsibility:

• Requirement gathering
• Requirement analysis
• Implementation of the requirement in java / Oracle using spring framework
• Writing Loader and Exporter on bank end (java code)
• Writing Pl/SQL procedures and functions.