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Syed Akram
syedakram93@gmail.com
contact:+91-9003028357
---------------------------------------------------------------------------------------------------------------------------------------------------
Qualification : B.Tech (Computer Science)
Currently working in Zoho Corporation Ltd, Chennai, India
Profile: Hadoop Developer and Administrator
“Transforming large, unruly data sets into competitive advantages”
Areasof Expertise:
 Big Data Ecosystems: Apache Hadoop, HDFS, MapReduce, Hive, Sqoop, Prestodb(Facebook)
 Programming Languages: Core Java, C/C++
 Scripting Languages: JSP, JavaScript, HTML (Basics)
 Databases: MySQL
 Platforms: Linux, CentOS
 Application Servers: Apache Tomcat
 Others: Open Replicator and its forked tools, Kafka(Basics)
Experience : 3.8+ years of Strong Hadoop/Bigdata related framework technologies.
Summary:
 Debugging and deploying software for highly scaled cluster applications, involving 2k+ servers
involving large multiple data centers at multiple locations.
 Design and build advanced automated testing framework, tools in Shell
 Build, enhance and maintain automation frameworks for scalability, stability and performance.
 Worked with open source community to debug issues and fix them
 Tuning production cluster configurations, and debug system level deployment issues.
 Data ingestion from heterogeneous sources.
 Capable of processing large sets of structured, semi-structured and unstructured data.
 Shared responsibility for administration of Hadoop, Hive
 Experience in installing, configuring, testing Hadoop ecosystem components.
 Worked on Apache Sqoop to export data into HDFS and used Hive, presto to process that data.
 Assisted with data capacity planning and node forecasting.
 Collaborated with the infrastructure, network, database, application teams to ensure data quality and
availability.
 Administrator for HDFS (NameNode, DataNodes), Hive, presto, installing updates, patches and
upgrades.
 Customized HDFS Code to make it workable in IPV6 environment.
 Developed MapReduce programs to parse the raw data, populate staging tables and store the refined
data
 Running queries on Hive, PrestoDB that helped market analysts spot emerging trends by comparing
fresh data with reference tables and historical metrics.
 Populating staging table data using Application MYSQL BINARY LOGS
 Working on Hadoop cluster architecture and monitoring the clusters
 Replicating HDFS data across multiple datacenters (Live Replication)
 Strong debugging and problem solving skills
 Experience in monitoring, troubleshooting and tuning services and applications and operational
expertise such as good troubleshooting skills
 Good knowledge in understanding system capacity, bottlenecks, basics of memory, CPU, OS, storage
and networks.
 Ability to quickly ramp up on any new technology or tool and start producing results
 Working on prestodb(open source by facebook) to process big data along with Hive.
 Setting up presto co-ordinators, workers.
 Customized presto code to suit our product requeirements
 Running queries on presto
 Good design knowledge of complex software systems in the area of parallel data processing –
Hadoop, Presto, Hive.
 Experienced in debugging complex systems like filesystem/kernel/network.
 Management of work using git , hg(mercurial).

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Syed Akram

  • 1. Syed Akram syedakram93@gmail.com contact:+91-9003028357 --------------------------------------------------------------------------------------------------------------------------------------------------- Qualification : B.Tech (Computer Science) Currently working in Zoho Corporation Ltd, Chennai, India Profile: Hadoop Developer and Administrator “Transforming large, unruly data sets into competitive advantages” Areasof Expertise:  Big Data Ecosystems: Apache Hadoop, HDFS, MapReduce, Hive, Sqoop, Prestodb(Facebook)  Programming Languages: Core Java, C/C++  Scripting Languages: JSP, JavaScript, HTML (Basics)  Databases: MySQL  Platforms: Linux, CentOS  Application Servers: Apache Tomcat  Others: Open Replicator and its forked tools, Kafka(Basics) Experience : 3.8+ years of Strong Hadoop/Bigdata related framework technologies. Summary:  Debugging and deploying software for highly scaled cluster applications, involving 2k+ servers involving large multiple data centers at multiple locations.  Design and build advanced automated testing framework, tools in Shell  Build, enhance and maintain automation frameworks for scalability, stability and performance.  Worked with open source community to debug issues and fix them  Tuning production cluster configurations, and debug system level deployment issues.  Data ingestion from heterogeneous sources.  Capable of processing large sets of structured, semi-structured and unstructured data.  Shared responsibility for administration of Hadoop, Hive  Experience in installing, configuring, testing Hadoop ecosystem components.  Worked on Apache Sqoop to export data into HDFS and used Hive, presto to process that data.  Assisted with data capacity planning and node forecasting.  Collaborated with the infrastructure, network, database, application teams to ensure data quality and availability.  Administrator for HDFS (NameNode, DataNodes), Hive, presto, installing updates, patches and upgrades.  Customized HDFS Code to make it workable in IPV6 environment.  Developed MapReduce programs to parse the raw data, populate staging tables and store the refined data  Running queries on Hive, PrestoDB that helped market analysts spot emerging trends by comparing fresh data with reference tables and historical metrics.  Populating staging table data using Application MYSQL BINARY LOGS  Working on Hadoop cluster architecture and monitoring the clusters  Replicating HDFS data across multiple datacenters (Live Replication)  Strong debugging and problem solving skills  Experience in monitoring, troubleshooting and tuning services and applications and operational expertise such as good troubleshooting skills
  • 2.  Good knowledge in understanding system capacity, bottlenecks, basics of memory, CPU, OS, storage and networks.  Ability to quickly ramp up on any new technology or tool and start producing results  Working on prestodb(open source by facebook) to process big data along with Hive.  Setting up presto co-ordinators, workers.  Customized presto code to suit our product requeirements  Running queries on presto  Good design knowledge of complex software systems in the area of parallel data processing – Hadoop, Presto, Hive.  Experienced in debugging complex systems like filesystem/kernel/network.  Management of work using git , hg(mercurial).