HARSHA SAGIRAJU
Bangalore, India
Mobile: +** – 903-***-****
Express Entry Profile Number E000679047
Email: acz4ql@r.postjobfree.com
LinkedIn: https://www.linkedin.com/in/harsha-sagiraju-b1833459
Best time to call:09:00 Hrs - 22:00 Hrs (IST)
Seeking a suitable position that offers opportunities to create deliver and maintain applications, as well as product development related to Big Data and Hadoop based projects
SUMMARY
Technically sophisticated IT professional with over 8.5 years of experience in Product Development, Data Architect, Requirement Elicitation and Research Management
Possess 3+ years of experience in Hadoop / Big Data development / Spark / Solution Design and 3+ years of experience in Business intelligence / Dataware housing
Currently, serving as an Principal Consultant (Big data/ Hadoop) in Mercedes Benz Research and Development India Pvt. Ltd. and leading the team of 11 members
Excellent knowledge of Hadoop applications such as HDFS, Yarn, MapReduce, Hive, Pig, Sqoop and Spark
Experience in implementing ETL solutions in Teradata and SQL Server using SAS BI and UNIX
Well honed in Big Data/Hadoop Project management which includes preparing the dashboards,setting KPIs, milestones, stakeholder analysis and project timelines in co-ordination with vendors and internal teams
Adept in implementing and managing multiple node Clusters
Deep knowledge on Hadoop resource Management, Cluster Maintenance, Cluster Tuning and deployment of Hadoop Application
Hands-on experience in integrating Services like KNOX, HUE with LDAP/AD, Encryption for Hadoop Cluster
Exceptional problem solver with expertise in resolving critical issues by coordinating with multiple application groups
Superior relationship management skills and strong planning, organizational and time management skills
SKILL
Product Development
Project Management
Data Architect
Requirement Elicitation
Scripting & Documentation
Research Management
Test Strategy / Approach
Data Analysis & Modeling
Verification & Validation Process
Team Management
TECHNICAL SKILL
Languages
C, HTML, Java, Python, Visual Basic and Unix
Database
Oracle, SQL Server, Teradata and HBase
Tools
Quality Centre (QC), Sqoop and SAP BI
Knowledge
SAP BI
Application
Big Data
Softwares
SAS 9.0, Tableau, Hive and MapReduce
Framework
Hadoop
LANGUAGE SKILL
Proficient in English
Moderate inGerman
GLOBAL EXPOSURE
Travelled to USA on a business visit as a Business analyst
Travelled to Germany,China, and Singapore multiple times on a Business Visit
EDUCATION
Masters in International Business, St. Joseph’s College of Commerce, Bangalore, India - 2011
Bachelor of Engineering (Computer Science), VTU, Bangalore, India- 2008
PROFESSIONAL EXPERIENCE
Mercedes Benz Research and Development India Pvt. Ltd. Sep 2014 - Till date
Principal Consultant (Big Data)
Leading the complete project from the requirement analysis phase till the delivery on both development and operational end
Handling feasibility study and scoping workshop for the clients. Guiding team members on implementation
Working on application architecture design and implementation
Co-ordinating with Hortonworks, development and the operations team on the platform level issues
Tracking the project status and updating the stakeholders on weekly basis
Training and development activities for new team members
Target India Corporation, India Sep 2011 – Sep 2014
Analyst (Business Intelligence)
Involved in documenting the processes, data loads documentation and functional study of application
Prepared and ran SQL queries to verify Dimensional and Fact tables
Verified data loaded into target database
Interacted with BA &Dev teams to resolve the issues
Reported daily testing status report
Took requirements from the business partners and designing the project
Implemented the project in HDFS for better storage and fast retrieval
Involved in writing sqoop commands and PIG scrips
Guided the development team during the project execution
SamComm Technologies, India Jul 2008 – Sep 2011
Software Test Engineer
Managed the new Hadoop platform building activities
Coordinated with Hortonworks, development and the operations teams on the project timelines and the milestones
Ensured that the team is following the operations process as per the standards
Prepared dashboards and communicated the dashboards with the internal management and stakeholders
Participated in the scoping workshop and defined the operations scope for big data projects
Decided deadlines, assigned responsibilities, coordinated resources and monitored the progress of the projects
Translated business requirements to the technical teams
Involved in Core Concepts of Hadoop HDFS, YARN, Map Reduce, Hive, Pig, Sqoop, flume and HBase
ACHIEVEMENTS
Bagged ABCD Award(Above and Beyond Call of Duty) for setting up the first Big Data platform for Mercedes Benz
Achieved Quarterly award for achieving the outstanding results and the best performed award for the second quarter
Awarded with Great Team Card for establishing KPM, WSR and health check project from Minneapolis business partners
ReceivedPyramid award for successfully completing the projects on time and coordinating with other teams
PROJECTS HANDLED
Project Title #A
XD Log Analysis
Duration: Aug 2015 - Till date
Version
HDP 2.3
Tools: HDFS, Tez, Hive, Pig, RFTSx, Sqoop and Spark
Responsibility
Designing and Implemented the three layered ETL structure using Hive and Pig
Implementing transformations using Pig and store the data in Hive tables
Creating and managing external tables
Converting the entire XDLog project into a Spark project
Creating Spark Data Frames using the Hive connection and individual Dataframes
Working on application architecture design and implementation
Co-ordinating with Hortonworks, development and the opretaions team on the platform level issues
Tracking the project status and updating the stakeholders on weekly basis
Training and development activities for new team members
Project Title #B
Truck BOM Implementation
Duration: Sep 2014 - Jun 2015
Version
Hadoop 2.2
Tools: HDFS, Tez, Hive, Sqoop and Pig
Responsibility
Designed and Implemented Hive tables for storing structured data
Converted the XML files to flat files and storing in HDFS to make the data available in Hive tables
Worked on PIG scripts for data transformation and implemented the business logic to convert the plant names to plant IDs
Handled application architecture design and implementation
Co-ordinated with Hortonworks, development and the operations team on the platform level issues
Tracked the project status and updating the stakeholders on weekly basis
Trained and development activities for new team members
Project Title #C
Sql Server and Teradata Hadoop Migration (POC)
Duration: Jun 2013 - Feb 2014
Tools
HDFS, Hive, Pig, Sqoop and UNIX
Data Base: Teradata, Sqlserver
Responsibility
Took requirements from the business partners and designing the project
Implemented the project in HDFS for better storage and fast retrieval
Involved in writing sqoop commands and PIG scripts
Guided the development team during the project execution
Handled ocumentation and training
Created Hive tables equivalent to the tables in Sql Server and Teradata
Project Title #D
TCM Data Model
Duration: March 2012 to June 2013
Tools
HDFS, Hive, Pig, Sqoop and UNIX
Data Base: Sql Server and ALM
Responsibility
Handled requirements from the business partners and designing the project
Implemented the project in HDFS for better storage and fast retrieval
Involved in writing sqoop commands and PIG scrips
Guided the development team during the project execution
Project Title #E
TCM Upgrade
Duration: Sep 2011 - Mar 2012
Tools
Archer, SAS
Data Base: Sql Server and ALM
Responsibility
Handled requirements from the business partners and designing the project
Involved in documenting the processes
Worked on Data loads documentation
Involved in functional study of application
Prepared and ran sql queries to verify Dimensional and Fact tables
Verified the data which is loaded into target database
Interacted with BA & Dev teams to resolve the issues
Reporting daily testing status report
AVAILABILITY
Planning to relocate immediately
No bond obligation with current employer
References: Available upon request