Senior Business intelligence engineer

Expert (+10 years exp.)

Available Now | Vilnius, Lithuania

Key experience: MSSQL | MySQL | Oracle DB | ETL (Extract, Transform, Load) | Informatica & PowerCenter

Sector Background

Retail, E-Commerce, IT Company, Telecommunication, Bank&Finance

Preferences

Location: European Union only
Current status: Available Now (Updated: 6 years ago)

Personal Statement

Senior Business intelligence architect in Business intelligence and data warehouse architectures, methodologies and metrics and leading multi-terabyte BI projects. Designing, deploying, migrating, converting and integrating online transaction processing databases (OLTP), enterprise databases (EDB), operational data stores (ODS), data warehouses, data marts and data web houses (OLAP-ROLAP-MOLAP). Designing and implementing ETL processes for very large-scale data warehouses.

Expert in database systems and database analysis in all the database semantics. Expert in designing BI systems for OLAP/OLTP and ODS environments. Experienced in finance, banking, retail, telecommunication, E-commerce and insurance domains. Solid experience Kimball and Data Vault methodology implementation.

Column – oriented database architecture evangelist.

My expertise includes solid hands-on technical skills with SQL Server 2005, 2008, 2012 and 2014, Oracle 10g/11g, OBIEE 10g/11g, SQL Server Integration Services, Informatica, SSAS, SSRS, Cognos (Report studio), Business Objects (Xcelsius, Crystal Reports), Vertica, Cassandra, Amazon Redshift , Apache Spark, Hadoop, Tableau and Qlikview.

Skill Stack

METHODS

ETL (Extract, Transform, Load) +6 years Agile 3-4 years Scrum 3-4 years CI (Continuous Integration) 3-4 years

TOOLS

Git 3-4 years Jira 3-4 years

DATA BASE

MSSQL +6 years MySQL +6 years Oracle DB +6 years PostgreSQL 2-3 years NoSQL 2-3 years Oracle PL/SQL 1-2 years Teradata 0-1 year

TECHNOLOGY

Informatica & PowerCenter +6 years Amazon Web Services 3-4 years Bigdata & Hadoop 2-3 years

JAVA

Spark 2-3 years Kafka 2-3 years

PROGRAMMING

Python 0-1 year

ROLE EXPERIENCE

Developer +6 years Business Intelligence Consultant +6 years Architect 2-3 years Team Lead 2-3 years

INDUSTRY EXPERIENCE

eCommerce 4-5 years IT Company 3-4 years Retail 3-4 years Bank & Finance 2-3 years Telecommunication 1-2 years

EDUCATION LEVEL

Bachelors degree in IT Graduated Masters degree in IT Graduated