Krishna Prasad Email & Phone Number
Who is Krishna Prasad? Overview
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Krishna Prasad is listed as Engineering Manager - Data Platform at PayPay Corporation at PayPay Corporation, a with 1282 employees, based in Chiyoda, Tokyo, Japan. AeroLeads shows a matched LinkedIn profile for Krishna Prasad.
Krishna Prasad previously worked as Tech Lead Data Engineer at Paypay Corporation and Engineering Manager at Info Edge India Ltd. Krishna Prasad holds Master Of Technology (M.Tech.), Computer Application, 8.1/10 from Indian Institute Of Technology, Delhi.
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About Krishna Prasad
As a Tech Lead Data Engineer at PayPay Corporation in Tokyo, Japan I have spearheaded the construction of a data lake from its inception. PayPay has a Variety of databases like MySQL, Elasticsearch, MongoDB, and DynamoDB, each requiring complex work encompassing cleaning, transformation, and loading. My role entails high-level design and supporting the data engineers in working on low-level design and development of ETL pipelines tailored to the variety of data. We execute batch processing and real-time ingestion (streaming pipeline) through Apache Kafka/Amazon Kinesis and loading to Apache Hudi table format in S3 as a Data Lake with AWS Glue Data catalog for discovery and AWS Lake formation for data governance and ACL.While managing petabytes of PayPay data, my current tech stack includes:1. AWS Lambda and Step Functions for orchestrating automated workflows for data ingestion into the Data Lake.2. Apache Spark3. Scala4. Apache Hudi5. Apache Kafka6. Apache Airflow7. Amazon EMR8. AWS Athena9. S3 for data lake storage using Apache Hudi table format10. Amazon Kinesis In addition, we oversee ETL pipelines dedicated to moving data from the data lake to enterprise Data Warehouses, such as BigQuery or Redshift, as per specific end-user requirements.During my tenure at Info Edge (India) Limited (www.naukri.com), my role as a Backend Developer included leading a team focused on utilizing the Spring Boot Java framework. We were dedicated to crafting various micro-services that operated on a horizontally sharded database architecture, incorporating MySQL and MongoDB for backend applications. Our micro-services were deployed within Dockerized containers managed by Kubernetes. This experience provided me with a comprehensive understanding of Docker and Kubernetes deployment processes, alongside expertise in Jenkins pipeline automation. Notably, our efforts contributed to building India's premier platform, accessed daily by millions of users, with Naukri.com securing the top position in the job portal market in India and Arabian countries.I consistently enhance my knowledge through online courses from platforms such as Coursera, and Udemy. Notably, These courses have been instrumental in equipping me with the skills to develop more reusable, robust, scalable, and low-latency software systems designed and developed.Certified Data Engineer:AWS Data Engineer: https://www.credly.com/badges/30f467fa-4b65-4b69-9678-7577fa043a99/public_urlGCP Professional Data Engineer: https://google.accredible.com/fe7bbfd9-a4d0-4a7f-82bb-746e4f0dc9b5
Krishna Prasad's current company
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Krishna Prasad work experience
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Tech Lead Data Engineer
As a Teach Lead Data Engineer at PayPay Corporation, I designed and developed diverse ETL pipelines utilizing Apache Spark + Scala and running on AWS Glue and Amazon EMR cluster. These projects involve reading various kinds of sources like Aurora DB / MySQL / Kafka / DynamoDB / MongoDB etc and writing to Data Lake with table format Apache Huid / Deltalake / Iceberg and all tables metadata available in AWS Glue Data Catalog for datasets discovery. End users like the AI/ML team can utilize either… Show more As a Teach Lead Data Engineer at PayPay Corporation, I designed and developed diverse ETL pipelines utilizing Apache Spark + Scala and running on AWS Glue and Amazon EMR cluster. These projects involve reading various kinds of sources like Aurora DB / MySQL / Kafka / DynamoDB / MongoDB etc and writing to Data Lake with table format Apache Huid / Deltalake / Iceberg and all tables metadata available in AWS Glue Data Catalog for datasets discovery. End users like the AI/ML team can utilize either Athena / Presto / dbt or other SQL-based interfaces to interact with the data lake.While managing petabytes of PayPay data, my current tech stack includes:1. AWS Lambda and Step Functions for orchestrating automated workflows for data ingestion into the data lake.2. Apache Spark3. Scala4. Apache Hudi5. Apache Kafka6. Apache Airflow7. Amazon EMR8. AWS Athena9. S3 for data lake storage using Apache Hudi table format10. Amazon KinesisIn addition, we oversee ETL pipelines dedicated to moving data from the data lake to enterprise Data Warehouses, such as BigQuery or Redshift, as per specific end-user requirements. Show less
Engineering Manager
Team Lead
Lead Engineer
Served as an Engineering Manager at Info Edge India Ltd:* Proficient in web technologies, including Java, Spring Boot, MongoDB, MySQL, Elasticsearch, Aerospike, Apache, and Nginx.* Expertise in architecting and developing real-time, large-scale web applications, specifically for the Recruitment Management System (RMS).* Developed Java microservices for RMS, encompassing features like Approval, Requisition, Requirements, Vendor Management, and Communication… Show more Served as an Engineering Manager at Info Edge India Ltd:* Proficient in web technologies, including Java, Spring Boot, MongoDB, MySQL, Elasticsearch, Aerospike, Apache, and Nginx.* Expertise in architecting and developing real-time, large-scale web applications, specifically for the Recruitment Management System (RMS).* Developed Java microservices for RMS, encompassing features like Approval, Requisition, Requirements, Vendor Management, and Communication Services.* Engaged in the transformation of the existing monolithic architecture into a Java microservices architecture.* Focused on enhancing the performance scalability to meet the evolving needs of recruiters. Show less
Business Operations Engineer
• Build predictive model for predicting prospective buying customer from free trial customers.• Build customer churn prediction model, which is helpful for support team to contact with customers. • Rating recommendation engine for chat interaction of support team with customers.• Prepared highly scalable SaaS Metrics e.g.: MRR, ARPA, LTV, Churn Rate & Cohort Metrics. • Currently working on business operation team of Kayako, which includes order management… Show more • Build predictive model for predicting prospective buying customer from free trial customers.• Build customer churn prediction model, which is helpful for support team to contact with customers. • Rating recommendation engine for chat interaction of support team with customers.• Prepared highly scalable SaaS Metrics e.g.: MRR, ARPA, LTV, Churn Rate & Cohort Metrics. • Currently working on business operation team of Kayako, which includes order management, cart management, payment gateway and trial signups.• Worked on event handling in backend system to make SaaS metrics accessible faster.• Working on LAMP platform with MVC and API driven architecture.• Implemented Salesforce for Customer Relationship Management.• Worked on Hobspot for inbound marketing.• Implemented Zuora for payments and subscription management. Show less
Software Engineer
Working as a PHP Developer with specialised in Core PHP in Engineering team. Learning everyday from the bests and Growing up professionally and personally.• Worked on LAMP platform with Zend, Yii framework & JSON using Object Oriented concepts to provide faster, better, reliable, secure and feature rich web applications, solutions and services that served more than 10 lakhs user on daily basis.• Translated business requirements into maintainable, robust and secure software… Show more Working as a PHP Developer with specialised in Core PHP in Engineering team. Learning everyday from the bests and Growing up professionally and personally.• Worked on LAMP platform with Zend, Yii framework & JSON using Object Oriented concepts to provide faster, better, reliable, secure and feature rich web applications, solutions and services that served more than 10 lakhs user on daily basis.• Translated business requirements into maintainable, robust and secure software codes.• Added multiple software modules/sub-modules like optimisation of vouchers distribution to the customer, Size-chart framework, automation of SEO requirements.• Requirement analysis and schema designing in MySQL database for specific business requirements.• SKU Level Sizechart – Provided Flexibility to Sizechart Team to upload Sizechart on SKU level to provide its different sizes in the same category of same brand.• Vouchers/Coupons framework – Built a strong backend interface integrated with frontend system for creation of millions of coupons in a very short time frame.• SEO – Built a strong SEO which make Jabong pages comes on first page of google search engine. Show less
Lecturer
Job Responsibilities:Course Coordinator of Graph Theory and Numerical Analysis.MATLAB instructor.Faculty Coordinator for Training and Placement cell.
Colleagues at PayPay Corporation
Other employees you can reach at paypay.ne.jp. View company contacts for 1282 employees →
Marco Mateus
Colleague at Paypay CorporationTokyo, Japan
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Saki Todoroki
Colleague at Paypay CorporationJapan
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Ayaka Omura
Colleague at Paypay CorporationIbaraki, Japan
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小田桐知宏
Colleague at Paypay CorporationAichi, Japan
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佐久間淳
Colleague at Paypay CorporationGreater Tokyo Area, Japan
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末永将史
Colleague at Paypay CorporationIbaraki, Osaka, Japan
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蔣永傑
Colleague at Paypay CorporationGreater Tokyo Area, Japan
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Sam Chen
Colleague at Paypay CorporationGreater Tokyo Area, Japan
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Yoshimitsu Sakui
Colleague at Paypay CorporationTokyo, Japan
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Nikhil Chaudhari
Colleague at Paypay CorporationTokyo, Japan
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Krishna Prasad education
Master Of Technology (M.Tech.), Computer Application, 8.1/10
Master Of Science (M.Sc.), Mathematics, 7.02/10
Bachelor Of Science (B.Sc.), Mathematics, 72.61
Intermediate, Science, 70.33
Education record
Education record
Frequently asked questions about Krishna Prasad
Quick answers generated from the profile data available on this page.
What company does Krishna Prasad work for?
Krishna Prasad works for PayPay Corporation.
What is Krishna Prasad's role at PayPay Corporation?
Krishna Prasad is listed as Engineering Manager - Data Platform at PayPay Corporation at PayPay Corporation.
Where is Krishna Prasad based?
Krishna Prasad is based in Chiyoda, Tokyo, Japan while working with PayPay Corporation.
What companies has Krishna Prasad worked for?
Krishna Prasad has worked for Paypay Corporation, Info Edge India Ltd, Kayako, Jabong, and Lovely Professional University, Punjab.
Who are Krishna Prasad's colleagues at PayPay Corporation?
Krishna Prasad's colleagues at PayPay Corporation include Marco Mateus, Saki Todoroki, Ayaka Omura, 小田桐知宏, and 佐久間淳.
How can I contact Krishna Prasad?
You can use AeroLeads to view verified contact signals for Krishna Prasad at PayPay Corporation, including work email, phone, and LinkedIn data when available.
What schools did Krishna Prasad attend?
Krishna Prasad holds Master Of Technology (M.Tech.), Computer Application, 8.1/10 from Indian Institute Of Technology, Delhi.
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