Surendra Kumar
Enterprise Architect Manager @Accenture
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WORK HISTORY
Enterprise Architect Manager @Accenture
EDUCATION
CloudxLab
Certificates, Big Data with Hadoop and Spark
Visvesvaraya Technological University
Bachelor’s Degree, B.E in Computer Science & Engineering, First Class with Distinction
Stanford University
Machine Learning
ABOUT SURENDRA KUMAR
Technical Delivery Leader focused on design, development and delivery of software applications and systems integration.Very much open to exploring new domains. 8+ years of global exposure of working with multi-cultural team members and possess client facing & customer interaction experience at onsite (Australia, France, Netherlands and United Kingdom). Profile summary : • OSS- RAN, Cloud RAN, OpenRAN,RAN, NFV,VNFs, VIM,VNFM, NFVO,Moblie Access & Transmission network,5G,LTE,3G/2G,VoLTE, NB-IoT,IPVPN,MPLS, Fixed Line, PDH, SDH, ATM, Core Network. • OSS Tool - Amdocs OSS Suite Cramer • OOPs/Scripting -PL-SQL, Core Java,RAN,Moblie access & Ttransmission network,5G,LTE,3G/2G,VoLTE, NB-IoT,IPVPN,MPLS, Fixed Line, PDH, SDH, ATM, Core Network. • OOPs/Scripting -PL-SQL, Core Java, JSP, Scala,Python, Spring Boot, Struts, MVC, Shell, Bash • Cloud platforms: AWS (Core services) • Container platform and orchestration: Docker, Docker swarm, CNCF Kubernetes, AWS ECS, AWS EKS • DevOps CI/CD: Jenkins • Infrastructure as Code (IaC): Hashicorp Terraform, AWS CloudFormation • Configuration Management and Platform as Code (PaC): Ansible • Service Architectures: Microservices, SOA • Cloud networking stack: AWS VPC, AWS subnets, AWS VPN • Monitoring, alerting and dash boarding: CNCF Prometheus, Grafana, AWS CloudWatch • Representational/Declarative/Modelling languages: JSON, XML, YAML • Key value stores: AWS Secrets Manager • Cloud security:AWS IAM • Integration techniques: RESTful, SOAP, JMS • Big Data with Hadoop-ZooKeeper, HDFS, YARN, MapReduce, Pig,Hive,HBase, NoSQL, Sqoop, Flume, Oozie, • Big Data with Spark- Scala, Spark -RDD; Spark Streaming, Kafka,Protocol Buffers; topics- Dataframes, SparkSQL,SparkR, MLlib and GraphX. • Database- Oracle,Hbase,Hive,HDFS(Storage),Hive(Query language) • Methodologies -Agile, SDLC Waterfall • Standards -TOGAF,ITIL,NGOSS (eTOM, SID),3GPP,OpenRAN • Version control: Git, GitLab,SVN • Documentation: Swagger • Recent strong interest is in exploring artificial intelligence and machine learning applications.
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