Over 7+ years of experience as a DevOps Engineer in Automating, building, deploying and releasing of code from one environment to other environments.
I am interesting in working with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2. I have worked with almost all available RDBMSes, many NoSQL engines (Hadoop/HBase, Cassandra, Neo4j, MongoDB), in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU, and other similar stuff. Have a great experience in query optimization, application profiling, and troubleshooting.
My area of expertise includes:
Extensive experience with Continuous Integration Tool Jenkins.
Extensively experienced in usingĀ BuildĀ and Automation tools like Ant, Maven.
Good knowledge in Nginx and hands-on experience with WebSphere, JBoss, and WebLogic
deployments.
strategies.
Infrastructure, Automation It includes Amazon Web Services (AWS), Ant, Maven, Jenkins,
Chef, SVN, TFS, Github, ClearCase, Docker, CVS, Tomcat, JBoss, and Linux etc.
configurations Cloud Formation, RDS,EBS Volumes,SnapShots etc.
management tools Puppet, Atlassian and CF Engine and Web Services like AWS.
My area of expertise includes:
Python script
Web scraping
AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS)
GCP(Big Query, DataFlow, SnowFlow)
Microsoft Azure
Hadoop Big Data
Elasticsearch/Kibana/Logtash(ELK)
Hadoop setup on standalone, Cloudera, and HortonWorks.
SQL like MySQL PostgreSQL
NoSql Database like Hbase and MongoDB
Machine learning
Deep Learning
Spark with Mlib,GraphX
Sphinx
Memcache
MS BI/Tableau/GDS