Tarun Agarwal
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineer at LinkedIn | Ex-Amazon
Currently a software engineer at LinkedIn. Prior to this, I have contributed to innovative projects that enhance user experience and drive operational efficiency at Amazon. My background in computer science, combined with my hands-on experience, has equipped me with a strong foundation in software development. I hold a Bachelor’s degree in Computer Science, graduating in 2022. My journey includes valuable internships at Walmart and Logward, where I honed my skills in software development over six months and two months, respectively. I have a solid experience working with Java and Python, and I am proficient in AWS services and microservices architecture. I am always eager to learn and collaborate on new projects in the tech space. Let’s connect and explore opportunities to innovate together!
Ramaiah Institute Of Technology
Bachelor of Engineering - BE, Computer Science
January 1, 2018 – January 1, 2022
Delhi Public School
Science
January 1, 2015 – January 1, 2017
Software Engineer
March 1, 2025 – Present
Bengaluru · Hybrid
Amazon
Software Development Engineer 1
July 1, 2022 – February 1, 2025
Bengaluru · On-site
Walmart Global Tech India
Software Development Intern
January 1, 2022 – July 1, 2022
Bengaluru, Karnataka, India
Logward
Software Development Intern
May 1, 2021 – July 1, 2021
Problem Solving (Basic) Certificate
HackerRank
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has experience in large, product-driven companies like Amazon and LinkedIn, suggesting familiarity with structured environments and potentially agile methodologies. The diverse project work, from internal tools to data labelling platforms and UI rendering engines, indicates adaptability. However, the target role is 'Data Engineer', and while there are relevant experiences, the resume doesn't explicitly detail extensive work with core data engineering concepts like ETL, data warehousing, or big data technologies. This might require further assessment to confirm a strong cultural and technical fit for a dedicated data engineering role.
Soft Skills & Operational Fit
The candidate's experience at Amazon suggests an ability to work on complex systems, scale infrastructure, and deliver features. The description of leading infrastructure enhancement and ensuring backward compatibility indicates attention to detail and operational awareness. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity is not possible.