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Jay Kushwaha | Gravity Talent Portal

Jay Kushwaha

Jay Kushwaha

Data Engineer

https://talent.gravityer.com/jay-kushwaha

👋 Hi, I'm Jay 🚀 Cloud & Data Engineer | Python | GCP | Airflow | Terraform | SQL | UNIX | Building scalable solutions | Lifelong learner | Innovation seeker

Ad Ops LLC

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Kanpur, Uttar Pradesh, IndiaMember since June 13, 2026

https://talent.gravityer.com/jay-kushwaha

Top Skills

JavaHTMLPythonDockerfile

Skills

JavaHTMLPythonDockerfile

Experience

Ad Ops LLC

Data Engineer

June 13, 2026 – Present

Projects

ToDo

October 12, 2020 – October 12, 2020

ToDo — GitHub repository

docker-compose

October 8, 2020 – October 8, 2020

docker-compose — GitHub repository

GCP

October 2, 2020 – October 2, 2020

GCP — GitHub repository

URL-Class

September 4, 2020 – September 4, 2020

URL-Class — GitHub repository

Server-Socket-Programming

September 2, 2020 – September 4, 2024

Server-Socket-Programming — GitHub repository

II-App

August 9, 2020 – August 19, 2020

This is my first Spring boot application

Linked-List

July 11, 2020 – September 3, 2020

Linked-List — GitHub repository

Synchronized

July 9, 2020 – September 3, 2020

This repo consist Synchronized concept.

MultiThreading

July 7, 2020 – September 3, 2020

This repo has all files of Multi-threading concepts.

Generic

July 4, 2020 – September 3, 2020

this repo consists of 3 files generic class with stack operations, generic function with multiple arguments, and a simple generic program.

Key Strengths

Candidate has current experience as a Data Engineer at Ad Ops LLC.
Demonstrated personal projects in Java, Python, and basic web technologies.
Exposure to Docker and GCP through personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a focus on core programming concepts (Java generics, multithreading, data structures) and some exposure to cloud (GCP) and containerization (Docker). While these are relevant to a Data Engineer role, the projects appear to be foundational rather than demonstrating complex data engineering pipelines or distributed systems. The current role as 'Data Engineer' is a direct fit, but the depth of experience cannot be fully assessed from the project descriptions alone. The project diversity is moderate, but specific data engineering tools and platforms are not prominently featured.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.