Software Developer Resume

PROFESSIONAL SUMMARY:

Around 6+ years of extensive IT experience in all phases of Software Development Life Cycle, including experience working with Hadoop, Spark and Cloud projects.
Worked extensively with Hadoop Distributions like Cloudera, and Hortonworks.
Hands on experience with Hadoop Architecture and its components like YARN HDFS, Resource Manager, Node Manager, Name Node, Data Node and MR v1 & v2.
Experienced in working with different file formats (Avro, Parquet, RC & ORC) & compressions (Gzip, LZO, Snappy and Bzip2).
Broad working experience and certified in Spark Core, SQL (Data frames), Streaming.
Experience in importing and exporting data from different RDBMS Servers like Oracle and Teradata into HDFS and Hive using Sqoop.
Experience in ingesting data from FTP/SFTP servers using Flume.
Experience in developing Kafka Consumer API using Spark applications using Scala.
Experience in Hive, Impala and Spark Performance Tuning and Optimization.
Experience in developing Hive UDFs and running hive scripts using different execution engines like Tez and Spark (Hive on Spark).
Experienced in tuning long running Spark applications and implementing features like graceful shutdown, fault tolerance and fail over.
Experience in creating DStreams from sources like Kafka and performed different Spark transformations and actions on it.
Hands on experience working with Kerberos keytabs for application authentication and Sentry for defining role based ACLs on objects like URI, databases and tables.
Well versed working with Hadoop encryption like data at rest and transportation.
Experience in Integrating Hive, Impala, Spark with Tableau reports.
Experience in publishing and scheduling refreshes on the Tableau Server.
Experience with AWS components like Ec2 instances, S3 buckets & Cloud Formation templates.
Experience with Azure Components like Azure SQL Database and Azure Data Factory.

TECHNICAL SKILLS:

Programming Languages: Scala, Java, shell scripting, Python, SQL and PL/SQL

Big Data Technologies: Hadoop, HDFS, MapReduce, Hive, Pig, HBase, Impala, Hue, Sqoop, Oozie, Flume, Zookeeper, Kafka, Sentry, Cloudera and Hortonworks.

Spark Components: Core, SQL(Dataframes, Datasets), Streaming

Databases & NoSQL: Oracle, Teradata, MySQL, SQL Server, HBase

Hadoop Paradigms: Map Reduce, YARN, In - memory computing, High Availability, Batch processing, Real-time Streaming.

Other Tools: Eclipse, IntelliJ, Maven, SBT, SVN, GitHub, Jira, Jenkins

Cloud Components: AWS (S3 Buckets, EMR, Ec2, Cloud Formation), Azure (Sql Database & Data Factory)

Visualization: Tableau Desktop and Tableau Server

PROFESSIONAL EXPERIENCE:

Confidential

Software Developer

Responsibilities:

Experienced in working with different file formats (Avro, Parquet, RC & ORC) & compressions (Gzip, LZO, Snappy and Bzip2).
Broad working experience and certified in Spark Core, SQL (Data frames), Streaming.
Experience in importing and exporting data from different RDBMS Servers like Oracle and Teradata into HDFS and Hive using Sqoop.
Experience in ingesting data from FTP/SFTP servers using Flume.
Experience in developing Kafka Consumer API using Spark applications using Scala.
Experience in Hive, Impala and Spark Performance Tuning and Optimization.
Experience in developing Hive UDFs and running hive scripts using different execution engines like Tez and Spark (Hive on Spark).
Experienced in tuning long running Spark applications and implementing features like graceful shutdown, fault tolerance and fail over.
Experience in creating DStreams from sources like Kafka and performed different Spark transformations and actions on it.
Hands on experience working with Kerberos keytabs for application authentication and Sentry for defining role based ACLs on objects like URI, databases and tables.
Well versed working with Hadoop encryption like data at rest and transportation.
Experience in Integrating Hive, Impala, Spark with Tableau reports.
Experience in publishing and scheduling refreshes on the Tableau Server.
Experience with AWS components like Ec2 instances, S3 buckets & Cloud Formation templates.

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