Yogesh Jha is a software engineer with 6 years of experience building real-time, distributed systems and data-driven backend platforms, currently focused on scalable analytics at MiQ in Bengaluru. He has hands-on expertise in designing low-latency data pipelines and microservices using Java, Spring Boot, Kafka/Kinesis, Apache Pinot, and AWS, and has reduced critical update latencies from minutes to seconds in production. Yogesh has driven migrations (SDK-to-API, Dv360 ingestion), automated Kubernetes resource optimizations that cut resource usage by 70%, and improved ingestion throughput and campaign metrics processing for advertising platforms. Earlier roles at Netmeds sharpened his skills in inventory consistency, S3 data modeling, and observability via JSON logs and AWS alarms. Comfortable across backend, data engineering, and distributed systems, he combines domain-driven design with pragmatic performance tuning to deliver measurable business impact. Outside core work he mentors and contributes to open-source and algorithm problem-setting, reflecting a practical curiosity for system design and developer experience.
6 years of coding experience
3 years of employment as a software developer
Higher secondary education, Higher secondary education at Shree Jain Vidyalaya
Bachelor of Technology - BTech, Electronics and communication engineering, 8.25, Bachelor of Technology - BTech, Electronics and communication engineering, 8.25 at Jalpaiguri Government Engineering College
solutions of popular interview algorithms askd in different companies
Contributions:1 review, 26 PRs, 24 pushes in 2 years 5 months
data-structuresinterview-algorithmspythonleetcode
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