I am Senior Application Developer with 12+ year’s experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes currently seeking new opportunities that will enable me to demonstrate the ability to deliver enhanced value as part of a team.
EXPERIENCE SUMMARY:
• Having 12+ years of Total Experience in Bigdata Technologies and IBM Mainframe
• 4 years of Exclusive experience in Hadoop and its components like HDFS, Map Reduce, Apache PIG, Hive, Sqoop, HBase and Oozie.
• Extensive Experience in Setting up Hadoop Cluster.
• Good working knowledge with Map Reduce and Apache Pig.
• 6 years of experience in IBM Mainframe Application Development including 2 year experience in Data Warehouse Analysis, Design, Development, Testing, & Implementation.
• Proven expertise in many facets of software development including Application Analysis, Design, Coding, Testing and Implementation.
• Exposure into Banking (Credit Cards) and Telecom and Retail domain with experience in development and enhancement Projects.
• Performing Impact Analysis to identify the modules impacted by the Business Need Request initiated by the client.
• Involved in the preparation of implementation plan for the project roll-out.
• Experience in Mainframe Performance Management & Analysis.
• Flexible and ability to learn quickly with eagerness to share knowledge.
My role as System Analyst to work as part of Center Of Excellence(COE) team
Responsibilities include,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyze and Define the pros and cons of various technologies and platforms
- Define use cases, solutions, and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand the pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
EXPERIENCE SUMMARY:
• Having 12+ years of Total Experience in Bigdata Technologies and IBM Mainframe
• 4 years of Exclusive experience in Hadoop and its components like HDFS, Map Reduce, Apache PIG, Hive, Sqoop, HBase and Oozie.
• Extensive Experience in Setting up Hadoop Cluster.
• Good working knowledge with Map Reduce and Apache Pig.
• 6 years of experience in IBM Mainframe Application Development including 2 year experience in Data Warehouse Analysis, Design, Development, Testing, & Implementation.
• Proven expertise in many facets of software development including Application Analysis, Design, Coding, Testing and Implementation.
• Exposure into Banking (Credit Cards) and Telecom and Retail domain with experience in development and enhancement Projects.
• Performing Impact Analysis to identify the modules impacted by the Business Need Request initiated by the client.
• Involved in the preparation of implementation plan for the project roll-out.
• Experience in Mainframe Performance Management & Analysis.
• Flexible and ability to learn quickly with eagerness to share knowledge.
My role as System Analyst to work as part of Center Of Excellence(COE) team
Responsibilities include,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyze and Define the pros and cons of various technologies and platforms
- Define use cases, solutions, and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand the pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
