Tezaswy Singh

Software Engineer

Delhi, India8 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led modernization of financial data processing systems.
Architected a migration pipeline with 99.98% uptime.
Mentored engineers through full project lifecycles.

Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in IoT and large-scale system design.

Contact

Skills

Core Skills

Internet Of Things (iot)Project Planning

Other Skills

JavaAmazon DynamodbGraphQLEvent-driven architectureScrumMentoringAWS GluePySparkAWS LambdaAmazon QuickSightAmazon RedshiftAmazon ECSAPI GatewayC++Python

About

Software Engineer with a demonstrated history of working in the product industry. Skilled in Java, Microsoft Excel, SQL, Microsoft Word, and C++. Strong engineering professional with a Bachelor of Technology (B.Tech.) focused in Information Technology from Delhi Technological University.

Experience

8 yrs 9 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 9 mos

Current Experience

Amazon

2 roles

SDE II IOT

Jan 2026 – Present · 4 mos

Internet of Things (IoT)Java

SDE II

Aug 2022 – Present · 3 yrs 9 mos

I have led the design and delivery of large-scale, high-availability systems that modernized financial data processing and vendor operations. My work spanned architecting a 100M+ record migration pipeline with 99.98% uptime, building scalable GraphQL APIs, and creating event driven solutions for analytics platform. I also drove automation through self-service tools and mentored engineers through full project lifecycles, reducing manual intervention and enabling more reliable, customer-focused solutions.

Project PlanningAmazon Dynamodb

Arcesium

2 roles

Senior Software Engineer

Promoted

Jun 2020 – Aug 2022 · 2 yrs 2 mos

Part of Treasury Development team

Software Engineer

Mar 2019 – Jun 2020 · 1 yr 3 mos

Samsung electronics

Software Engineer

Jul 2017 – Feb 2019 · 1 yr 7 mos · Delhi, India

Responsible for maintenance and development of mobile and wearable reference applications. Developed watchface comlication and watchface editor applications for samsung gear using Enlighntenment Foundation Libraries.
Worked on development of Network Diagnosis system using Deep Learning (Sequence Learning with RNN). Optimized the approach for Fault Detection using system logs on Tizen platform and developed an application using tkinter for representing the required results in graphical format.

Nearbuy (formerly groupon india)

Software Development Intern

Jun 2016 – Jul 2016 · 1 mo · Gurgaon

Grouping of deals : I was part of a 2 member intern team which was responsible for clustering similar deals based on various parameters. We used a version of k-means clustering to group the deals and used RMSE to reduce our error rate.