Opeyemi Fabiyi is a seasoned Analytics Manager with robust experience in data science, machine learning, and analytics engineering. Currently serving at Data Culture in New York, Opeyemi has been instrumental in developing modern data stacks and enhancing data-driven decision-making capabilities. His commitment to mentoring and his proactive involvement in community development, especially in data democratization, stands him out as a leader in the data community.

• Achievement 1: Won the first dbt Community Awards 2024 at Coalesce global Analytics Engineering conference for exemplifying leadership and excellence within the global dbt community.
• Achievement 2: Organizer of the DataFest Conference, one of the largest Data conference in Africa with over 4,000 participants in attendance in the maiden edition in 2022 and 2nd edition last year, 2023.
• Achievement 3: Constructed a Modern Data Stack from scratch using open-source tools, achieving a 94% cost reduction for an organization.
• Achievement 4: Provided analytics support that enhanced strategic business decision-making, impacting key performance indicators significantly.
• Achievement 5: Initiated and leads the Young Data Professional tribe and the dbt Nigeria Meetup, fostering a collaborative and learning environment for data professionals.

• Reason 1: Exceptional ability to communicate complex data insights effectively to both technical and non-technical stakeholders.
• Reason 2: Versatile expertise in data engineering technologies including Python, BigQuery, and Airbyte, applied in innovative ways to solve real-world problems.
• Reason 3: Deep commitment to community service, focusing on mentoring young professionals and promoting data literacy through various initiatives.

"Embracing data is key to unlocking potential and driving innovation. I am dedicated to empowering organizations and individuals to become more data-savvy and forward-thinking."

Connect with Opeyemi Fabiyi:

LinkedIn: https://www.linkedin.com/in/opeyemifabiyi

⁠Feel free to reach out to him for a coffee hangout or a virtual chat to discuss data innovations and opportunities.