keshav sonje
Big 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
SSE @ Linkedin | Ex Flipkart
Senior Software Engineer at LinkedIn Systems Infrastructure, with a B.Tech in Computer Science from NIT Bhopal. I specialize in designing scalable, high-performance systems, with expertise in systems architecture and backend engineering. Previously at Flipkart, I led several high-impact initiatives across: Data processing pipelines, API gateway infrastructure, Order fulfillment systems I worked extensively with technologies like Apache Spark, Hadoop, Kafka, MongoDB, Aerospike, focusing on optimizing performance, reducing operational costs, and enhancing the overall user experience. I’m passionate about building resilient, efficient platforms that solve complex, real-world problems at scale.
Maulana Azad National Institute of Technology
Bachelor of Technology - BTech, Computer Science
January 1, 2016 – January 1, 2020
Senior Software Engineer
October 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
Razorpay
Lead Software Development Engineer
April 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India · On-site
Flipkart
Software development engineer 2
April 1, 2022 – April 1, 2025
Flipkart
Software Development Engineer 1
June 1, 2020 – April 1, 2022
Flipkart
software development engineer
January 1, 2020 – June 1, 2020
Cultural Fit Analysis
The candidate has a consistent career progression within large, product-based companies (Flipkart, Razorpay, LinkedIn), indicating an ability to thrive in structured, fast-paced environments. The diverse projects, from API gateways to data management platforms and supply chain algorithms, suggest adaptability and a broad technical interest. However, the lack of personal projects or community contributions makes it difficult to assess initiative beyond direct work responsibilities. The target role 'Big Data Engineer' aligns well with the candidate's experience in Spark, Hadoop, and Kafka.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest strong problem-solving and leadership skills, particularly in leading development efforts and managing critical functions. The focus on enhancing security, performance, and data quality indicates a detail-oriented and quality-conscious approach. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.