Anurag · Senior Azure DevOps Engineer · 7+ yrs
SeniorAbout Anurag
Anurag Pandey is an experienced Azure DevOps Engineer with over 7 years in CI/CD pipeline automation, Infrastructure as Code (IaC), and IT service management. He is skilled in Azure DevOps, Terraform, and secure SDLC practices, managing both production and non-production environments. Anurag collaborates effectively with cross-functional teams to deliver solutions and conducts training sessions to promote development automation.
Core expertise
Additional skills(6)
Why hire Anurag?
Designed and implemented CI/CD pipelines using Azure DevOps to streamline software delivery.
Developed Terraform-based IaC pipelines to automate cloud infrastructure provisioning.
Led initiatives to improve CI/CD pipeline security and governance.
Developed and deployed ETL pipelines using Spark and other Big Data tools.
Successfully developed and deployed Reports and Dashboards across SCM, Finance, and HR domains.
Designed and implemented CI/CD pipelines, improving deployment efficiency by 30%.
Developed Terraform-based IaC pipelines, reducing provisioning time by 40%.
Led initiatives to enhance CI/CD pipeline security, resulting in zero security incidents.
Designed and implemented scalable Big Data solutions, handling over 1 million records daily.
Successfully deployed ETL pipelines, improving data processing speed by 25%.
Project highlights(4)
Big Data Solution Development and CI/CD Automation – Senior Software Engineer
- Focused on designing and implementing highly scalable Big Data solutions utilizing Azure Services.
- Involved in developing and deploying ETL pipelines using Spark and other Big Data tools.
- Designed and implemented highly scalable and available Big Data solutions using Azure Services ADF, Data Lake Storage.
- Developed and deployed ETL pipelines using Spark, and other Big Data tools to extract, transform, and load data into the data lake.
- Created and maintained data models and schemas using tools like Glue and Athena to enable self-service data access for business users.
- Collaborated with cross-functional teams including Data Scientists, Data Analysts, and Business stakeholders to understand requirements and provide solutions.
Key outcomes:
Designed and implemented highly scalable and available Big Data solutions.
Developed and deployed ETL pipelines effectively using Spark and other tools.
Enabled self-service data access through well-maintained data models and schemas.
Big Data Solution Engineering – Consultant Software Engineer
- Focused on designing and implementing highly scalable and available Big Data solutions using Azure Services.
- Involved in developing and deploying ETL pipelines using Spark and other Big Data tools.
- Designed and implemented highly scalable and available Big Data solutions using Azure Services.
- Developed and deployed ETL pipelines using Spark, and other Big Data tools to extract, transform, and load data into the data lake.
- Created and maintained data models and schemas using tools like Glue and Athena to enable self-service data access for business users.
- Collaborated with cross-functional teams including Data Scientists, Data Analysts, and Business stakeholders to understand requirements and provide solutions.
Key outcomes:
Designed and implemented highly scalable and available Big Data solutions.
Developed and deployed ETL pipelines using Spark and other tools.
Enabled self-service data access through maintained data models and schemas.
Business Intelligence and Database Optimization – Consultant
- Focused on assessing platform statistics for data-intensive BI analytics and optimizing database performance.
- Responsible for compiling and maintaining database systems for tailored content reports.
- Assessed platform statistics to create customized, data-intensive BI analytics.
- Wrote and optimized SQL statements to assist business intelligence practices.
- Compiled, maintained, and developed database systems for tracking tailored content reports.
- Monitored assessment software for performance, security, and database availability throughout the lifecycle.
Key outcomes:
Created customized, data-intensive BI analytics.
Optimized SQL statements to improve business intelligence practices.
Ensured performance, security, and availability of assessment software.
Database Design and Development – Developer
- Focused on conducting tests to identify software issues and implemented security measures to protect business data.
- Responsible for creating and updating database designs and data models.
- Conducted tests to identify issues and make necessary modifications.
- Implemented security measures to protect vital business data.
- Cultivated and maintained effective working relationships with other developers and members of the finance department.
- Created and updated database designs and data models.
Key outcomes:
Identified and resolved software issues through testing.
Implemented security measures to protect vital business data.
Successfully created and updated database designs and data models.
7+ years of industry experience
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Anurag
DevOps Engineer