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Disha Deshmukh

Associate Cloud Engineer

About Disha

I am a Cloud & DevOps Engineer with 3+ years of experience designing, automating, and optimizing secure, scalable cloud solutions across AWS and Azure. My expertise lies in solving complex infrastructure challenges by building CI/CD pipelines, implementing Infrastructure as Code, and driving automation that reduces costs and accelerates delivery.

At Capgemini, I engineered 80+ CI/CD pipelines, automated 50+ deployments, and migrated enterprise datasets with zero data loss — delivering measurable improvements in efficiency, reliability, and compliance. I specialize in AWS services (EC2, S3, IAM, VPC, RDS, Glue, Lambda), Kubernetes/EKS, Docker, Terraform, and scripting with Python, Bash, and SQL. My work consistently improves operational performance, reduces manual effort, and enables teams to innovate faster.

 

I hold multiple certifications including AWS DevOps Engineer – Professional, Azure Data Engineer Associate, and Databricks Data Engineer Associate, which validate my ability to design enterprise‑grade architectures and lead cloud transformation initiatives.

Beyond technical delivery, I thrive in Agile environments, collaborating with cross‑functional teams to align technology with business goals. I am passionate about leveraging automation, cloud security, and data engineering to solve real‑world problems and create long‑term value.

 

📌 What I bring to the table:

Proven success in cloud migrations, CI/CD automation, and IaC.

Certified expertise across AWS, Azure, and Databricks.

A results‑driven mindset with measurable impact on efficiency and scalability.

Immediate availability for roles in Pune, Mumbai, Bengaluru, or hybrid/remote.

 

🚀 My goal: to grow into a Cloud Architect/Technical Leader, designing innovative solutions that empower organizations to scale securely and efficiently.

 

📩 Open to opportunities in Cloud Engineering, DevOps, and Data Architecture roles across AWS and Azure.

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Skills

  • Agile methodology
  • AWS
  • Cicd
  • CloudWatch
  • Devops
  • IAM
  • Jenkins
  • JIRA
  • Kubernetes
  • Python
  • S3
  • Shell
  • SQL
  • Terraform
  • vpc

Work Experience

2022- 2026
Associate Cloud Engineer
Capgemini

I am a Cloud & DevOps Engineer with 3+ years of experience designing, automating, and optimizing secure, scalable cloud solutions across AWS and Azure. My expertise lies in solving complex infrastructure challenges by building CI/CD pipelines, implementing Infrastructure as Code, and driving automation that reduces costs and accelerates delivery.

At Capgemini, I engineered 80+ CI/CD pipelines, automated 50+ deployments, and migrated enterprise datasets with zero data loss — delivering measurable improvements in efficiency, reliability, and compliance. I specialize in AWS services (EC2, S3, IAM, VPC, RDS, Glue, Lambda), Kubernetes/EKS, Docker, Terraform, and scripting with Python, Bash, and SQL. My work consistently improves operational performance, reduces manual effort, and enables teams to innovate faster.

 

I hold multiple certifications including AWS DevOps Engineer – Professional, Azure Data Engineer Associate, and Databricks Data Engineer Associate, which validate my ability to design enterprise‑grade architectures and lead cloud transformation initiatives.

Beyond technical delivery, I thrive in Agile environments, collaborating with cross‑functional teams to align technology with business goals. I am passionate about leveraging automation, cloud security, and data engineering to solve real‑world problems and create long‑term value.

 

📌 What I bring to the table:

Proven success in cloud migrations, CI/CD automation, and IaC.

Certified expertise across AWS, Azure, and Databricks.

A results‑driven mindset with measurable impact on efficiency and scalability.

Immediate availability for roles in Pune, Mumbai, Bengaluru, or hybrid/remote.

 

🚀 My goal: to grow into a Cloud Architect/Technical Leader, designing innovative solutions that empower organizations to scale securely and efficiently.

 

📩 Open to opportunities in Cloud Engineering, DevOps, and Data Architecture roles across AWS and Azure.

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