Summary
Overview
Work History
Education
Skills
Websites
Publications
Awards
Timeline
Generic

Mankunwar Khurana

Toronto,ON

Summary

Results-driven, committed software professional with a strong foundation in computer applications and expertise in Java, AWS, and distributed systems. Skilled in scalable software design, web services, debugging, unit testing, and cloud technologies, delivering innovative and efficient solutions for large-scale systems.

Overview

11
11
years of professional experience

Work History

Staff Software Engineer

Royal Bank of Canada
04.2024 - Current
  • Designed and developed an automation suite integrated with Jenkins pipelines to validate Azure security policies, reducing validation time from 7 days to 2 days and improving testing accuracy by 40%
  • Built and deployed custom security policies for distributed Azure resources (Key Vault, PostgreSQL, Defender), enhancing compliance adherence by 30% and reducing security vulnerabilities
  • Developed a centralized repository of reusable functions for Azure, Kubernetes, and GCP, accelerating automation workflows by 50% and reducing redundant code by 60%
  • Utilized version control tools to manage code repositories, facilitating team collaboration and version tracking
  • Led a team of developers, implementing best practices across multiple programming languages, improving code quality by 35% and reducing defects by 25%
  • Contributed to design discussions and reviews, optimizing distributed system implementations for Azure and Kubernetes, leading to 20% faster deployment cycles and 15% lower infrastructure costs
  • Developed efficient software solutions, improving system performance and product development by 30% and enhancing user experience through optimized resource utilization and scalability
  • Developed and maintained data flow pipelines to ensure seamless integration with existing infrastructure

Software Engineer, Data Engineer

Amazon
09.2017 - 04.2024
  • Designed and implemented distributed and scalable production systems for an internal reporting application using AWS and CDK, improving data processing speed by 40% and reducing operational overhead by 30%
  • Engineered a scalable web application calendar system with LDAP-based access control, enabling seamless cross-team collaboration and improving calendar customizations and scheduling efficiency by 35%
  • Built a workflow management tool and seller registration module using distributed architectures, ensuring 99.9% uptime, reducing onboarding time by 50%, and optimizing data processing workflows to cut storage costs by 25% and retrieval speed by 45%
  • Automated testing for a distributed ML system on the Amazon India Seller Platform, increasing tax-restricted product detection accuracy by 30% and improving compliance rates by 20%
  • Developed an automation tool for multilingual web page comparisons, reducing QA time by 60% and improving localization accuracy by 40%
  • Led design reviews, implemented software development processes, optimized software performance, improving efficiency by 25%, reducing release cycles by 20%, and enabling 15% faster deployments
  • Implemented distributed computing strategies and secure data storage architectures, enhancing system efficiency by 30%, reducing latency, improving access speeds by 40%, and ensuring regulatory compliance
  • Collaborated with cross-functional teams to troubleshoot and resolve software defects and develop innovative UI designs, improving user engagement by 25% and product stability and quality by 15%
  • Mentored junior engineers, increasing team productivity by 35% and fostering a culture of continuous learning and innovation

Software Engineer, Sr. QA Engineer

MakeMyTrip
09.2015 - 09.2017
  • Developed a distributed automation suite for hotel inventory management, automating 28 APIs and reducing manual comparison time from hours to 15-25 minutes
  • Designed distributed reporting mechanisms to identify inventory and pricing discrepancies across multiple environments, improving data accuracy by 40%
  • Revamped iOS workflows using distributed system principles, reducing latency by 60% and enhancing the scalability of automation workflows, leading to 30% faster processing times

Associate Software Engineer

Indus Valley Partners
01.2014 - 09.2015
  • Designed and implemented a distributed server-side Single-Sign-On (SSO) module using Apache LDAP, enabling secure authentication and session management across systems, improving login efficiency by 40%
  • Automated OTP generation and subscription management with AWS SNS, ensuring 99.9% reliable delivery across a distributed user base and reducing authentication failures by 30%
  • Implemented distributed computing strategies, enhancing system efficiency and performance, reducing latency by 35%, and improving scalability for high-traffic applications

Education

Masters - Computer Applications

Guru Gobind Singh Indraprastha University
08.2014

Bachelors - Computer Applications

Punjab Technical University
07.2010

Skills

  • Java
  • AWS Lambda
  • AWS CloudFormation
  • REST APIs
  • SOAP UI
  • SpyMemcache
  • WhatsApp API
  • SES
  • Kubernetes
  • Azure
  • Redux
  • Docker
  • Terraform
  • Data structures and algorithms implementation
  • ReactJS
  • Typescript
  • HTML
  • Javascript
  • MySQL
  • Hive
  • MongoDB
  • DynamoDB
  • SQL Server
  • Graphql

Websites

Publications

  • Big Data – Analytics and Technologies, 01/01/15, RDIAS Journal of Information Technology and Computer Applications, Big data analytics uncovers hidden business patterns and correlations within vast datasets using tools like Hadoop, NoSQL, MapReduce, and YARN. It enables organizations to gain actionable insights, leveraging distributed systems for competitive advantages and informed decision-making.
  • Big Data Solution, 01/01/16, RDIAS Journal of Information Technology and Computer Applications Volume 2, Big Data involves capturing, processing, and analyzing massive datasets to uncover actionable insights. Solutions like Hadoop offer affordable and scalable tools, but their selection depends on data type, budget, and expertise. This paper proposes a generic, customizable big data solution.

Awards

  • Amazon Internal Hackathon 2022, 07/01/22, Amazon
  • Gold medalist Academics, 04/01/11, Punjab Technical University

Timeline

Staff Software Engineer

Royal Bank of Canada
04.2024 - Current

Software Engineer, Data Engineer

Amazon
09.2017 - 04.2024

Software Engineer, Sr. QA Engineer

MakeMyTrip
09.2015 - 09.2017

Associate Software Engineer

Indus Valley Partners
01.2014 - 09.2015

Bachelors - Computer Applications

Punjab Technical University

Masters - Computer Applications

Guru Gobind Singh Indraprastha University

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Mankunwar Khurana