Bryan Barrion

Background

About Bryan Barrion

Full Stack Data Engineer • Architect, Build and Monitor data solutions from scratch using AWS well architecture framework - Ingest, Collect, Store, Analyze, Serve,Consume • Practice AWS best practices and Minimum Viable Product(MVP) solution to enhance existing data processes and systems. • Design and build AWS Data Factory pipeline that automate ingestion of data from various sources- Stream, batch, incremental loading - AWS glue, AWS data sync, AWS sftp, AWS Database migration service, AWS kinesis • Migrate existing data stores into a secured data lake and/or data warehouse - S3, RDS and Redshift • Develop, Analyze and/or maintain existing ETL workflows, data management, data catalog and data query components- AWS Glue, AWS Redshift, AWS Athena, Amazon EMR • Develop business intelligence dashboards using different softwares - Amazon Quicksight, Tableau, PowerBI • Provide hands-on training to client • Do pre-sales and attend client meetings **AWS Data Analytics Certified** L2 Production Support Automate tasks/alerts using several applications and programming languages in Windows and UNIX environment – Python, Shell, Perl, Autosys, Leela, etc. Ensures all transactions are correct by analysing the system database – SQL, DB2 & Sybase End-to-End ticket issue handling from creation to reporter confirmation closure – JIRA, Service Now Analyst Programmer • Process automation through programming – Shell and Python in UNIX environment • RDBMS queries and development – Oracle SQL and db2 • Quality assurance – Unit testing and User accepted testing(UAT) Linux Engineer • UNIX/Linux environment - RedHat OS, putty and winscp • Process automation through programming - Shell, Python, Perl and TCL • RDBMS queries and development - Oracle SQL and MySQL • Revision control database - SOS and SVN • JIRA ticketing system - development and administration • Experienced on communicating directly with vendors for any tool related issues • Basic skill in Mask Design