Database Administrator Resume

CAREER OBJECTIVE:

To work with such Data - Driven IT infrastructure, where I will be able to learn new things, implement latest technologies as well as achieve professional experiences, which will enrich my career.
3.5 years in Database / Data Engineering.
3 months of experience in Data Engineering on Google Cloud Platform.
3.5 years of experience in Oracle, SQL Server, MySQL, DB2 & PostgreSQL database configuration and administration.

TECHNICAL SKILLS:

Languages: Python, C#, Java (J2SE), HTML5, JavaScript, SQL, T-SQL, PL-SQL.

Platforms: Google Cloud Platform, Microsoft SQL Server, Oracle, MySQL, PostgreSQL, IBM DB2 databases, Oracle Enterprise Manager / Golden Gate, Selenium Web Driver.

Skilled Area: Data Engineering (Preparation/Analytics/Visualization), Big Data, Machine Learning, Database Management & Administration.

PROFESSIONAL EXPERIENCE:

Confidential

Database Administrator

Confidential

Officer, Confidential

Confidential

Database Engineer

Confidential

Data Engineer

Responsibilities:

Enabling data-driven decision making by collecting, transforming, and publishing data. Design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. Configure and manage Big-Data infrastructures (Hadoop Cluster / BigQuery / BigTable etc.) on Google Cloud Platform. Leverage, deploy, and continuously train pre-existing/new Machine Learning models on Google Cloud Platform.
Installation, Configuration, Administration, Monitoring and Troubleshooting of various Microsoft SQL Server, Oracle, MySQL, PostgreSQL, IBM-DB2 single / cluster / DR instances on top of various Windows Linux & AIX Servers
Monitoring and Administration of Oracle Golden Gate process on top of different Windows, Linux & AIX Servers.
Oracle Database Export, Import using (exp-imp, expdp-impdp). Data Extraction from Oracle, Microsoft SQL Server, MySQL, IBM DB2 & PostgreSQL databases.
Microsoft SQL Server, Oracle, MySQL, IBM DB2 & PostgreSQL Database User Access Control.

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