Over eight years experience as a Database Administrator and Development working with MySQL/MariaDB, five years working with MongoDB, two years with PostgreSQL, one year with Oracle Databases and MS SQL on multiply UNIX/Linux and Microsoft Server platforms with MS SQL 2012-2016. Over two years experience as a System Engineer working with multiply UNIX/Linux and Microsoft Server platforms, systems/network architecture, installation, implementation, integration, security and administration with a programming background on php/python. Two years experience of applying MicroServices with Docker and Kubernetes to the QA/UAT/Development environment. Free years working with reporting, creating KPI reports through procedures. Knowledge of Big Data structure like Hadoop, Hive, Pig Latin and NoSQL Database Cassandra.
Years of Mysql
Years of IT
Projects
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On site
Nov 2015 to Present
Data Engineer
Boca Raton, Florida
May 2014 - Nov 2015
Database Engineer
New York
Oct 2010 - May 2014
Database Architect
New York
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use
is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques.
is a container technology for Linux that allows a developer to package up an application with all of the parts it needs.
MariaDB, the most popular Open Source SQL database management system since MySQL acquisition by Oracle Corporation, is developed, distributed, and supported by community.
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity.
MS SQL Server is a relational database management system (RDBMS) developed by Microsoft. This product is built for the basic function of storing retrieving data as required by other applications. It can be run either on the same computer or on another across a network.
Normalize RDBMS; Participated in the development of new products; Creation of Data Warehouse (OLAP) with Triggers, Procedures, and ETL scripts; Support of ETL processes through bash and T-SQL language; Architect and administrate MySQL/MariaDB/MongoDB/MSSQL; Developing and supporting production, QA and development MySQL databases; Responsible monitoring and optimizing database performance and capacity planning; Importing/Exporting data from and to xml/csv/txt/tsv files with and without ETL; Trace the slow running queries and optimize SQL queries for improved performance and availability; Managing server instances (AWS RDS), disaster recovery, replication and cluster; Developing and supporting database replication and clustering, and plan and execute for database scalability; Working with application engineers, developers and the QA team as well as applications support teams in the maintenance and care of the Linux Network and Database infrastructure; Applying Docker/Containerization technologies; Supporting Redis; Supporting Business with Data Analytics queries;
Participated in the development of new product; Analyzing current environment & languageing workable in-house solutions; Understand core systems and data processes for normalization, data validation, data aggregation, and customized reporting and migrations to the new product; Identifying & building tools to assist in database and transactional processing (i.e. Store Procedures, Triggers, etc.); Worked on language and development of Relational Database Management System (RDBMS) and reduce the redundancy by data normalization. Migrated high-volume fields from MySQL to the Elasticsearch in order to get easy access and high speed users search; Traces the slow running queries and optimize SQL queries for improved performance and availability; Managing MySQL servers instances (AWS), disaster recovery and replication; Creating Data Warehouse with Triggers, Procedures and ETL; Creating Data Marts through views for different departments
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