Vishwas Raman

Vice President of Engineering @Astronomer

Fremont, CA, US
EMAILS
v••••••@astronomer.io
MOBILE NUMBERS
+18•••••••51

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WORK HISTORY

Apr 2024 — Present

Vice President of Engineering @Astronomer

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San Francisco, CA, US

EDUCATION

2017 — 2017

University of California, Berkeley

Engineering Leadership Professional Program

1994 — 1998

University of Madras

BE, Computer Science and Engineering

1998 — 2000

University of Minnesota Duluth

MS, Computer Science

SKILLS

LinuxAgile MethodologiesManagementSoftware DevelopmentScrumCRestJavaWeb ServicesScalabilitySoftware EngineeringCloud ComputingUnixWeb ApplicationsC++AlgorithmsDistributed Systems

ABOUT VISHWAS RAMAN

Strength/Experience:‣ 15+ years of experience in building highly scalable, distributed web applications that are focused on delighting the customer/end user‣ building and leading parallel high-performing teams, embracing new directions, and ensuring efficient execution‣ Partnering with the product, business and executive management teams to deliver several highly complex, critical and visible software products.‣ leading, mentoring and helping the career progress of several managers, architects and engineers‣ pioneered teams that built modern technology stacks (Service Oriented Architecture and Microservices with clear separation of concerns, fully automated CI/CD, Test driven development, 100% Unit Test Coverage, Functional and Performance Testing, data driven product and technology decisions, strong alerting and monitoring infrastructure)‣ Big believer in Dev-ops culture and Agile methodologies‣ Setting up an innovative and fast paced environment to deliver high quality software constantly‣ Fast learner with a can-do attitude.Technologies/Domains:Web Identity/Security, highly scalable and performant distributed systems, Web authentication standards, Smart TV domain, Service Oriented Architecture, HTTP/REST, Java, C++, Javascript, Node.js, Data models and distributed data base systems, SQL, NoSQL, PHP, Linux, exposure to AWS cloud offerings (DynamoDB, S3, Lambda, API Gateway, Kinesis) and Big Data Systems (Hadoop, Spark, MapReduce, HBase, Hive, Kafka etc.), Familiarity with AI and ML technologies

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