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About Me

19+ years of experience in analysis, design and development.
 Extensive experience in the implementation, administration and
performance tuning of Database, Data Warehouse.
 Experience in data warehousing, data mining, ETL, ELT.
 Extensive experience in data modeling (Dimension, Star,
Snowflake Modeling)
 Extensive experience in developing stored procedures,
functions, Views, Sequences and Triggers, Complex queries using
PL/SQL & SQL in Oracle, MSSQL, MySQL, Informix.
 Expertise in OS job scheduling, Shell Scripting (Linux, UNIX, AIX).
 Expertise in all phases of SDLC and development Methodologies
(Agile / Iterative / Scrum)
 Experience in technical design documentation, validation and
test cases for performance testing.
 Good experience in MongoDB cluster administration and
management in relation to Big Data Solution.
 Experience in Installation, administration and performance
tuning of various Operating Systems (Linux, UNIX, AIX)
 Knowledge about PCI, HIPAA and GDPR compliance policies.


Canadian School Of Management 1998

Masters Computer Science (MCS), 1998

Adapt and work on new technologies very quickly.  Efficient in debugging and troubleshooting.  Evaluate open source/commercial products.

Work & Experience

01/01/2014 - 09/23/2020

Sr. DW Engineer / Data Engineer

Responsible for high available mongodb deployment, vertical/horizontal scaling (replica sets / sharding).  Performed analysis, design, development and maintenance activities associated with the database and data in support of multiple applications.  Implemented failure and recovery at various level of application.  Involved in the design of ETL and DW.  Responsible for MySQL, SQL Server databases schema design and modifications in schema design. Release the DDL script changes from DEV to QA/Staging/PROD.  Responsible for designing and leading development of data warehousing solutions to capture data from various sources with ETL tool and MYSQL / SQL Server / Mongo as the Database.  Responsible for Data (structured and semi structured ) migration to Cloud environment (AWS, Google Cloud)  Hands on working experience on AWS (EC2, S3, Redshift, AWS Glue, Lambda, DynamoDB )  Hands on working experience on Google Cloud (Cloud Storage, Compute Engine)

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