Yashi Garg

Software Engineer

Gurugram, Haryana, India2 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in developing data validation tools using Python and KQL.
Proficient in AWS tools for software development and data migration.
Strong foundation in React.js and Java for full-stack development.

Stackforce AI infers this person is a Fullstack Developer with expertise in AWS and data validation technologies.

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Skills

Core Skills

React.jsJavaPythonKusto Query Language (kql)

Other Skills

HiveMongoDBAmazon SQSAmazon DynamodbAPI DevelopmentContinuous Integration and Continuous Delivery (CI/CD)GitNoSQLSpring FrameworkCucumberJUnitBig DataHadoopApache SparkPySpark

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs

Current Experience

Amazon

Software Development Engineer

May 2024 – Present · 2 yrs · Gurugram, Haryana, India · On-site

React.jsJava

Infosys

Specialist Programmer

Aug 2023 – Apr 2024 · 8 mos · India · On-site

Developed a robust data validation tool leveraging Python and Kusto Query Language (KQL) to facilitate seamless data migration processes.
Utilized terminal commands to fetch Azure credentials and executed various KQL queries to validate the migration process.
Conducted comprehensive data validation checks including schema validation, table validation, row-to-row validation, and function validation, ensuring error-free and duplicate-free data migration.

HiveMongoDBPythonKusto Query Language (KQL)

Amazon

Software Development Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Supported the development and testing of new software applications, ensuring a smooth transition to production.
Proficiently acquired expertise in various AWS tools and features, effectively leveraging them to streamline operations.
Successfully devised and implemented robust failure handling mechanisms to ensure uninterrupted service availability.
Demonstrated cost-saving acumen by efficiently migrating data from expensive storage solutions to more cost-effective alternatives and integrated additional functionality onto optimised storage solutions, enhancing overal system performance.

Amazon SQSAmazon Dynamodb