Gauri Shankar Shukla

* Used AWS data lake concept to perform operations on raw data, that in turn gave us high availability and helped us deploy our applications faster.

* Worked with S3 buckets, objects creation, life cycle policy for our buckets as per requirements which involved moving data through various AWS offered storage classes like infrequent storage and glacier, based on age of data.

* Used AWS glue crawlers for processing the data coming from S3 and then finally using DynamoDB for storage of the processed data as part of ETL.

* Worked with versioning of buckets, setting up EC2 instances for our application, horizontal autoscaling based on CPU utilization, used application load balancers to manage the heavy weight applications running on the application servers (EC2).

* Configured computing, networking and security systems within cloud environment.

* Evaluated firewalls and monitored threats to establish secure cloud environments.

* Used terraform to manage hundreds of cloud services.

* Selected appropriate AWS service based on compute, data or security requirements.

* Communicated with clients to understand system requirements.

* Provided status updates to keep upper management informed and to reach goals.

* Evaluated firewalls and monitored threats to establish secure cloud environments.

* Optimized Spark jobs for improved performance, scalability, and reliability.

* Created Hive tables, optimized queries, stored procedures, functions and views on Hadoop clusters.