Bigdata Cloud Solution architect

OVERALL SUMMARY

§ More than 20 years of software development experience
§ Experience of designing and building Bigdata Analytical Systems,n-tire applications,
§ Creating Bigdata Cloud architecture solutions AWS,Azure
§ Experienced designing and building Bigdata cybersecurity infrastructures .
§ Specialist in using Modern Software Development tools to build high quality software
§ Experience Documenting Applications, doing detailed design of the Project
§ Experience of providing consultancy ,Team work experience ,Devops,cdi,Agile methodology Scrum,Kanban.





Hardpoint Bigdata Architecture design and development

Cloud:
Amazon EC2,EMR,Lambdas, Kinesis,Redshift,Amazon S3, Amazon RDS,Amazon ECS,EKS , VPC, IAM, Amazon Elastic Load Balancing, Auto Scaling, Cloud Front, CloudWatch, SNS, SES, SQS

Big Data/ML:
EMR,Hortonworks HDP and Cloudera Data platform,Lambda Architecture finetuning Hadoop,Metron,Yarn,HDFS,Mapreduce,Pig,Hive,Hbase,Storm,Flume,Solr,Spark,DAG,HAWQ,Ambari,Zookeeper,Oozie,Kafka,Falcon lifecycle management ,AWS S3,Devops,Athena,Amazon EMR ,AWS GLUE ,Talend,Data Vault2.0

OS Linux,Debian,Linux suse,rh,Sun Solaris,HP-Unix,MacOS,windows


Programminglanguages : Java and Python :Expert very good
SCALA,R :good


Databases Hbase,Oracle,MySQL,MAXDB,NoSQL,Mongo,ElasticSearch,AWS Redshift

Tools/ Jetbrain Pycharm,intellij,Eclipse, NetBeans,intelliJ ,SAP Netweaver developer studio (NWDS),SAP R3,Linux vi

UML Tools: RUP,Rational rose,together,Visio

SAP:
SAP JEE Stack ,BW,BI ,HANA in memory engine ,WebAS Technology Entwicklung ,Integration engine,XI PI Integration Adapters, Integration Repository, Integration Directory, System Landscape Directory, Integration Server.


ML Algorythms:
Linear Regression
Logistic Regression
Decision Tree
K-Means
K-Nearest
Random Forest