Dee

AWS Cloud dev ops

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$80.00

(per hour)

Description

I am a versatile and adaptable computer science professional with 12 years of experience in all stages of software development. At Amazon Kindle, where I worked as a Senior Support Engineer for over nine years, I specialized in design, development, release, launch, and big data management. My expertise spans AWS cloud services, Python, Java, and operational excellence. I have a proven track record of implementing automated workflows, managing metrics and analytics, and optimizing cloud infrastructure to drive efficiency and ensure compliance.

Skills:
- AWS Cloud: VPC, EC2, Lambda, S3, RDS, IAM, DDB, CI/CD pipelines, data pipelines, Cloudwatch, cost optimization.
- Bash, shell scripting and AWS CLI experience
- Big Data: EMR, HDFS, Hive, ETL
- SQL, Hadoop, spark
- Data Visualization and Metrics Reporting: AWS Quicksight
- Programming: Java, Python

- UNIX,Mac, Git, Maven

Key Achievements:

AWS Cloud Expertise: Proficient in a wide range of AWS Cloud services including VPC, EC2, Lambda, S3, RDS, IAM, DDB, CloudWatch, and cost optimization.
Automation and Workflow Optimization: Led the implementation of automated release workflows for Kindle Apps, significantly enhancing efficiency and reducing errors.
Big Data Management: Set up and optimized ELT pipelines, managed large-scale data processing using AWS EMR, Apache Spark, and ensured GDPR compliance.
Operational Excellence: Developed and executed comprehensive Operational Excellence plans for over 15 teams, improving documentation, coordination, and reducing high-severity tickets.
Metrics and Analytics: Established comprehensive metrics frameworks using AWS Quicksight and CloudWatch, enhancing visibility into performance and facilitating data-driven decision-making.
Tool Development: Developed custom tools for the Kindle Build Platform, supporting various apps and improving the overall development and release process.
Cost Optimization: Reviewed and optimized AWS resources, achieving significant cost savings.
Data Warehousing: Created AWS data pipelines to migrate data to Redshift for analytics, ensuring cost-effective data warehousing and improved data accessibility.

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