Steve Oliai
Associate Vice President - Technology - Data Architecture, Engineering and Analytics at Ebix
Based in Duluth, United States
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Seniority
Vp
Department
Information Technology
Location
Duluth
Industry
Software Development
Company size
1.7K
Contact information
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s•••••••@ebix.com
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Background
About Steve Oliai
Information Technology professional responsible for leading teams in database development, administration, migration, integration, analysis and machine learning with extensive experience in database architecture. Ability to quickly diagnose potential problems before they become problems. Design scalable databases based on business requirements and application needs, normalize and de-normalize database structures based on application requirements and hardware/software limitations, develop excellent rapport with colleagues/subordinates while resolving issues and completing projects on time. Deal with multiple high priority projects at the same time. Solve complicated problems in a short time. • Designed and built complex and scalable relational databases (~20TB/30K concurrent users). • Designed and built analytical warehouse systems. • Designed and built a custom data unification platform. • Built, deployed, and maintained machine learning models. • Built, deployed, and maintained data pipelines. • Worked with technical as well as end users and clients to understand business requirements to identify data solutions. • Developed strategies for data acquisitions, archive recovery, and implementation of databases on an enterprise level. • Significant experience with the design, development, and maintenance of enterprise level data systems such as BigQuery, PostgreSQL, Oracle, DB2/UDB, ASE and others. • Worked in conjunction with and provided leadership and direction to a team of database developers to meet technical requirements. • Experience with data security, storage solutions and replication. • Understand the various nuances which exist in different RDBMSs to guide developers towards making their code flexible enough to run on top of multiple relational databases.
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