Summary
Daniel Skeff is a Senior Data and AI Technical Specialist with nearly three decades in IT and over 18 years as an SME in Hybrid Data Management, integration and Data & AI technologies, primarily at IBM. He combines deep database and information architecture expertise (DB2, replication, CDC, NoSQL, data governance) with hands-on project design, sizing and POC/POT delivery for high‑stakes clients across finance, telecom, retail and government. A seasoned pre-sales and consultancy leader, he bridges technical strategy and execution—running workshops, shaping proposals and mentoring both clients and IBM specialists. He has supported award-winning financial projects and has experience embedding advanced HA/DR, partitioning and recovery practices into large-scale deployments. As a former postgraduate instructor, he translates complex database concepts into teachable solutions and has a history of building durable, auditable data controls (e.g., long-running audit-trigger systems). Based in Brasília, he frequently works on cross-border engagements, offering a pragmatic mix of legacy RDBMS mastery and modern hybrid cloud Data & AI approaches.
8 years of coding experience
1 year of employment as a software developer
Technologies in Data Processing, Information Technologies, Technologies in Data Processing, Information Technologies at União Pioneira de Integração Social - UPIS
Specialist, Bancos de Dados Relacionais, Specialist, Bancos de Dados Relacionais at Universidade Católica de Brasília
Portuguese, English, French