Aditya Kumar Gupta

• Built an end-to-end monitoring & observability platform using AWS Lambda, SQS & Databricks to track workflow execution for major retailers (Amazon, Walmart, UberEats, Target), providing real-time job visibility (completed/running/SLA breaches) and improving issue detection by 60% through automated dashboards. • Engineered a scalable event-driven pipeline, publishing message contracts to SQS and consumed by Databricks compute jobs with layered SQL tracking, enabling 99.8% accurate SLA adherence monitoring and reducing operational bottlenecks by 40%. • Refactored & hardened multiple AWS Step Functions, enhancing failure recovery, retry behavior, and branching decisions—resulting in 32% fewer workflow errors and improved platform reliability. • Designed a secure self-service Jenkins automation layer supporting enable/disable workflows, blacklist/whitelist controls, and configuration overrides; integrated audit logging to Databricks and automated Slack-based execution reporting, reducing DevOps effort by 70% and ensuring complete traceability. • Automated an entire retailer onboarding process by stitching multiple manual steps into a unified AWS Step Functions workflow and exposing supporting API endpoints—reducing onboarding time from 4 days to 2 days (50% faster) and eliminating repetitive human actions.

1) Optimized core trading data pipelines by refactoring inefficient database queries, reducing response time by 40% and improving system throughput. 2) Enhanced system stability by resolving memory leaks and optimizing cache utilization, reducing production incidents by 30%. 3) Developed and maintained a robust Kotlin codebase with unit tests (JUnit, Mutability Tests) and integrated regression test suites, ensuring 99.9% uptime for mission-critical applications. 4) Automated CI/CD pipelines, reducing deployment time by 50%, ensuring seamless integration of new features with minimal downtime. 5) Streamlined complex business workflows by documenting financial data processing logic in Confluence, improving team knowledge-sharing and reducing onboarding time for new developers by 20%.

1) Developed and executed unit tests (JUnit, Mockito) to validate complex data processing pipelines, increasing test coverage by 50%. 2) Feature Design and Integration: Actively contributed to designing and implementing features based on project requirements 3) Improved software reliability by identifying and resolving critical memory leaks and race conditions, reducing defect recurrence by 30%. 4) Optimized computational efficiency of EDA tools by refactoring legacy Java modules, improving simulation run times by 15%. 5) Collaborated with senior engineers to design and integrate new features, enhancing debugging capabilities for semiconductor design verification.

Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.

I am freelancer at CourseHero as a SME Computer Science Expert

I am freelancer at Chegg as a QA Computer Science Expert

I completed doing my research work on "Identity Theft On Internet"

I am fond of learning new computer languages. Right from 15 I started learning the computer language. The first language i learnt is "Python". Hey dont get scared its not that gigantic furious snake that you know but rather than this its the very powerful, simple language. After learning this the love for my computers increases and till now i used to learn variety of new languages. The languages that is learnt are 1) Java 2) Python 3) C++/C 4) MySQL 5) HTML 6) CSS 7) Bootstrap and many more to come in this list as i used to learn new languages day by day

I scored 94.4% in class 12 cbse board and got 4th rank in my state (Chhattisgarh) and 2nd rank in district (Korba).