Bigdata ETL Developer Resume

OBJECTIVE:

Talented and accomplished Data Warehousing and Bigdata ELT Developer with 5+ years of experience in contributing the design, development and maintenance of high quality Transactional and Decision Support Systems that can deliver data and reports in an “easy & efficient” way to understand the Client Business requirements.

SUMMARY:

Around 5+ Years of experience in Data Warehousing as an ELT & ETL developer
Proficient in Spark ELT Development using Bigdata Technologies like Hadoop ecosystems and filesystem for the last two years
Hand on experience in the other Hadoop components such as MapReduce, HDFS, YARN, Hive, Pig, Sqoop, HBase, Kafka, Zeppelin, Oozie and others
Successful contribution in migrating on premise Data Stage ETL application to AWS Elastic Map Reduce
Experienced in Amazon Web Services in provisioning and maintaining AWS resources such as EMR, S3 buckets, EC2 instances, RDS and others.
AWS associate Solutions Architect, Associate Developer Certified
Very good knowledge in Python programming.
Excellent technical and analytical skills with clear understanding of design goals and development for OLTP and dimension modeling for OLAP. Solid understanding in Data Warehousing techniques
Programming experience as an Oracle PL/SQL Developer for Business Applications using the Oracle Relational Database Management System (RDBMS).
Experienced in Shell Scripting and wrappers for the ETL jobs
Over two years of solid experience in Ab Initio Development of Data warehousing solutions and in developing strategies for Extraction, Transformation and Loading (ETL) mechanism.
Sound knowledge in IBM - DataStage
Job scheduling, maintenance and monitoring through Confidential
Implemented Agile development practices to the application requirements in every project and tracked the development efforts, issues and stories using JIRA and Confidential
Version control and source code management using GitHub

PROFESSIONAL EXPERIENCE:

Confidential

Bigdata ETL Developer

Responsibilities:

Understanding the overall business through the existing documents and job schedules
In depth and grained analysis of existing businesses and logics.
Analyzing and understanding the current workflow of DataStage jobs
Gathering the required data base objects, which provides the data for front end applications and reports.
Re-architecting and designing the ELT model, while helping facilitate a more intuitive and efficient interface to processes in the data workflow
Spark configurations in EMR
Setting up the development environments
Design and development of flexible, reliable, robust framework
Application Designing, developing and testing in Spark
Database design, profiling and data analysis in PostgreSQL
Existing stored procedures implemented in a current data warehouse implementation were moved over with reasonable effort, though this required some development efforts to cover for platform specific features (Oracle) and SQL compatibility.
Integration and System testing support.
User Acceptance Testing
Support for Production Implementation and bug fixes if any issues reported.
Technical assistance from design and development standpoint
Identify the process gaps and provide alternatives to the team
Planning the test activities and preparation of test scenarios as per the customer requirements

Confidential

ETL Developer

Responsibilities:

Requirement gathering and analysis.
Technical Architecture and high level design
Database design
Data profiling and data analysis.
Extract-Transform-Load Design and Development
Application Development and Unit Testing
Integration and System testing support.
User Acceptance Testing
Support for Production Implementation and bug fixes if any issues reported.
Technical assistance from design and development standpoint
Identify the process gaps and provide alternatives to the team
Planning the test activities and preparation of test scenarios as per the customer requirement

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