Pavithra Peddanaggari
AWS Engineer @ Truist | AWS Development, DevOps
- Role
- Data Engineer Aws Developer Aws Analyst at Truist
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Pavithra Peddanaggari
As an AWS Engineer at Truist, I leverage my 6+ years of experience in designing and implementing cloud solutions to enhance data analytics, security, and efficiency. I have successfully led on-prem to AWS cloud migration projects, optimized infrastructure scalability and security, and developed a security framework for fine-grained access control using AWS Lambda and DynamoDB. I also automated data ingestion pipelines with AWS Glue and Step Functions, reducing ETL processing time by 40%. Additionally, I integrated Apache Airflow for monitoring ML workflows on SageMaker, improving model deployment efficiency. My expertise extends to creating a Terraform-based infrastructure-as-code solution, streamlining provisioning and reducing manual effort by 60%. I am passionate about applying my skills in cloud computing, data governance, and automation to drive business growth and innovation.
Experience
Data Engineer Aws Developer Aws Analyst
Feb 2022 — Present · Atlanta, GA, US
Designed and implemented an Enterprise Data Lake, enabling analytics and fraud detection across vast datasets. Led on-prem to AWS cloud migration projects, optimizing infrastructure scalability and security. Developed a security framework for fine-grained access control using AWS Lambda and DynamoDB, enhancing data governance. Automated data ingestion pipelines with AWS Glue and Step Functions, reducing ETL processing time by 40%. Integrated Apache Airflow for monitoring ML workflows on SageMaker, improving model deployment efficiency. Created a Terraform-based infrastructure-as-code solution, streamlining provisioning and reducing manual effort by 60%. Built AWS centralized logging with CloudWatch and Splunk, enhancing incident detection. Optimized EC2 costs by 30% through automated AMI de-registration. Engineered a reusable migration framework using Spark and Hive, cutting migration time by 50%.
Education
JNTUH College of Engineering Hyderabad
Bachelors
2012 — 2015
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