10+ years of experience in data engineering, data platforms, and applied AI. Focus areas include dependable platform architectures, enterprise search, and responsibly integrated AI systems.
Team
Engineering experience across data, platforms, and applied AI.
Datenschaftler combines technical delivery, analytical thinking, and process understanding. We work closely with the teams that will own the result.
People
Accountable contacts throughout delivery.
Profiles and external evidence link directly to the respective team member.
Background in mathematics and analytics. Advisory on digitalization, process optimization, and data-driven decision-making.
3+ years of experience in data engineering and machine learning. Production experience on Azure Databricks across ELT pipelines, ML workflows, and scalable platform delivery.
10+
Years of experience across data engineering, data platforms, and applied AI.
Shared practice
10+ years of consistent experience across data and AI.
Our work spans data pipelines, cloud platforms, analytics, and AI-enabled processes. The application remains connected to its technical foundation.
Certifications & accreditations
Qualifications across data, cloud, and AI.
This overview brings together qualifications across Microsoft Azure, Fabric, Databricks, and GitHub.
Databricks
Databricks Certified Machine Learning Engineer Associate
Aijaz Ali Shah Syed
Open credential
Databricks
Academy Accreditation – Azure Databricks Platform Architect
Aijaz Ali Shah Syed
Open credential
Microsoft
Microsoft Certified: Azure Data Engineer Associate
Umar Asif Qureshi
Microsoft
Microsoft Certified: Azure IoT Developer Specialty
Umar Asif Qureshi
Microsoft
Microsoft Certified: Fabric Data Engineer Associate
Direct exchange
Discuss your data landscape and the affected process with us.
You will speak with the team that supports architecture and delivery.