Aditya Sharma

Software Engineer

Hyderabad, Telangana, India3 yrs 11 mos experience

Key Highlights

Developed critical payroll systems at Amazon.
Engineered self-service solutions enhancing user experience.
Skilled in AWS and modern programming languages.

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong AWS and data management skills.

Contact

Skills

Core Skills

Data Structures & AlgorithmsSystem DesignAmazon Web Services (aws)

Other Skills

Software DesignObject Oriented DesignTypeScriptContinuous Integration and Continuous Delivery (CI/CD)Object-Oriented Programming (OOP)REST APIsProblem SolvingAlgorithms

About

Hello everyone, I am Aditya Sharma, with over 2 years of experience working as a Software engineer at Amazon. I am skilled in Python, JavaScript, TypeScript, AWS (CDK, Lambda, Glue, Step Functions, SNS, SQS, DynamoDB, S3, EventBridge, CloudWatch) & CI/CD Pipelines. Driven by a passion for problem-solving, I excel in delivering essential features and resolving critical bugs, ensuring the highest quality in software development.

Experience

3 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 6 mos

Current Experience

Hashicorp

Software Engineer II

Nov 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Amazon

2 roles

Software Engineer

Jun 2022 – Nov 2024 · 2 yrs 5 mos · Hyderabad, Telangana, India · On-site

Amazon Time and Attendance System (TAA): Developed Amazon’s pay extract generation system to aggregate and transform Schedules, Punches, Time-offs, and pay data, creating pay extracts for over one million associates.
Led pay extract launch of Amazon’s TAA Solution for Singapore, supporting 600 employees.
Contributed to a template engine for generating diverse extracts for various countries, reducing code modifications.
Implemented salary code ingestion workflow and designed termination workflow for timely and accurate payroll.
Enhanced AtoZ app to display pay frequency, reducing 60,000 annual inquiries and improving user experience.
Optimized compute and DynamoDB integration, including batching records to reduce load, supporting 400,000 employees and addressing scaling challenges.
Improved Pay Calendar UI and implemented bulk calendar import, saving 10 FTE weeks per year.
Developed a file checker to detect and address missed file receptions in push based integration, preventing pay defects, .
Conducted load testing to ensure optimal performance of critical services during the Q4 peak season.

Data Structures & AlgorithmsSystem design

SDE Intern

May 2021 – Jul 2021 · 2 mos · Remote

Pay Compute Backfill Self Service
Engineered a self-service portal for PayComputeService(PCS) to handle backfill requests for pay data corrections, managing various scenarios like changes in pay policies and code fixes, thereby reducing dependency on the PCS team.
Enhanced customer experience with features like tracking backfill status, email notifications, manual approval steps, and utilised AWS Step Functions, API Gateway, Lambda, SES, S3, DynamoDB for orchestrating steps & managing failures.
Created bulk import functionality for upto 5000 records using Excel inputs.

Data Structures & AlgorithmsAmazon Web Services (AWS)