Software Engineer
Summary
I am a software development engineer at Amazon Web Services(Lambda) who
	Owned a large-scale distributed application which polls event sources like DynamoDB stream for records, batches them and invokes customer Lambda function.
	Designed and executed an operational script in python to detect large customer workloads and isolate them to single-tenant databases which led to a 10% reduction in team utilization costs.
	Implemented a python module to analyze stream shards with no throughput to reduce operational overhead.
	Automated repetitive tasks such as bootstrapping services to newly built data centers to improve team velocity by 7 days.
	Fixed the risk of missing a manual step during deployment rollback making a pipeline full CD.
	Engaged in a regular 7-day on-call rotation; routinely mitigated security risk, improved alarm, attended to scalability risks, and handled direct customer contacts.
	Lead a team initiative to audit and address disaster recovery modes which led to actions such as enabling point in time recovery features for the service databases.
Expectations
Looking for an exciting and challenging opportunity to work with amazing people and make my organization better today and grow with it.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Languages
- Python
- Java
- Ruby
- SQL
- C#
- C++
- C
- HTML
- CSS
- JavaScript
- JQuery
- Cloud Technologies
- Amazon DynamoDB
- Kinesis
- Lambda
- S3
- EC2
- CloudWatch
- IAM
- CloudFormation
- Big Data Technologies
- Hadoop
- HDFS
- MapReduce
- Algorithms
- Linear Regression
- Logistic Regression
- Ridge Regression
- KNN
- Naïve Bayes
- Dimensionality Reduction
- Decision Tree
- Random Forest
- SVM
- K-means
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