Yogesh Jha

Software Engineer II at MiQ

Bengaluru, Karnataka, India
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Summary

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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.
code6 years of coding experience
job3 years of employment as a software developer
bookHigher secondary education, Higher secondary education at Shree Jain Vidyalaya
bookBachelor of Technology - BTech, Electronics and communication engineering, 8.25, Bachelor of Technology - BTech, Electronics and communication engineering, 8.25 at Jalpaiguri Government Engineering College
languagesBengali, Hindi, English
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Github Skills (72)

http10
npm-package10
web-development10
cpp10
fundamentals10
javascript10
html10
code-structure10
bit-manipulation10
data-structure10
static-site10
documentation10
css10
tree10
web-developer9

Programming languages (11)

TypeScriptJavaCSSC++CJavaScriptHTMLMarkdown

Github contributions (5)

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hound77/jwoc-archive

Jan 2021 - Feb 2021

Contributions:7 reviews, 77 commits, 62 PRs in 1 month
jwocarchive
hound77/leetcode-solutions

Sep 2020 - Mar 2023

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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