Stephen Osullivan

Background

About Stephen Osullivan

My extensive leadership experience in data engineering ranges from startup enterprises to industry giants such as Walmart and Yahoo. I am an insightful, visionary, and hands-on executive with a strong portfolio of transformational and valuable contributions, and a solid background in building, coaching, and inspiring top-talent data engineering and IT teams to achieve exceptional results. My background includes: Expertise in Hadoop usage and architecture, as well as thought-leadership in the future of open source solutions for Big Data. Excellent ability to recruit and place the best team members in the right positions that maximize their talents, reducing on boarding time and attrition Effective in identifying and resolving complex problems in early stages, including data performance matters, resulting in reduced total project cost, time to market and customer satisfaction Enthusiastic contributor, enjoys discovering sustainable solutions to leverage data for supporting and realizing big-picture goals. Launch and oversee all aspects of company that helps organizations become data-driven enterprises through:(1) building high-performing Data Engineering and Data Science teams (2) designing platforms and architecture to become data-driven components (3) mentoring data leaders, engineers, and scientists within organizations. SPECIALTIES: Strategic Planning & Execution; Talent Recruitment & Acquisition; Team Building & Leadership; Employee Evaluation & Retention; C-Level Presentations & Recommendations; Client, Vendor & Partner Relationship Building; Data Warehousing; Big Data Solutions Implementation; Data Engineering & Science; Data Platforms & Architectures; Data Infrastructure; Enterprise Architectures; Distributed Systems; Cloud Solutions; Software Development Life Cycle (SDLC) TECHNOLOGY SUMMARY: OS: Linux, Solaris Languages: Java, Scala, Python, SQL Tools: Eclipse, Intellij, Netbeans, PyCharm, Maven, git, Spring Boot Data Stores: Hadoop, Cassandra, Redis, Oracle, Sybase, MySQL, Postgres, Data Warehouse(s) Clouds: AWS, GCP, Azure Other: Microservices, Kafka, Docker, Kubernetes, Business Intelligence (BI) Tooling