Experience
Our senior consultant Hakan has more than a decade of industry experience in building data intensive analytics systems. Still developing hands-on, he excels at building highly motivated and goal driven teams with a high focus on business outcome.
Client: Financial Industries > Real Estate Investing
Technical and Organisational Leadership in Data Streaming Transformation
Working close with the technical and leadership team to increase time to market for data pipelines. Utilizing Azure Kubernetes, Storage Accounts, Databricks, and Confluent Cloud to move the business from a batch based slow decision making world to near real time data feedback in real estate investment. The technical team is upskilling in Kafka and Databricks structured streaming, while integrating the data for hundreds of property managers.
2025 - 2026Client: SaaS > Learning and Workplace Security
Multiple Engagements in DevOps and Data Analytics
Building solutions in cloud and analytics space for multiple SaaS companies, namely CI/CD and Observability tooling for a startup in computer vision applied to workplace security and an analytics tool chain to gain more observability into metrics of traction and learning completion for a SaaS vendor in employee upskilling.
2024 - 2025Founder: DataCater
Co-Founder and CTO of DataCater
Shaping a data streaming product - Hired the best and upskilled, while shaping product vision and direction to customer needs. DataCater has been at the forefront of shaping data streaming and near real-time analytics. We exited at the later end of 2023 having served 1000+ data pipelines to SMBs and enterprises.
2021 - 2024Clients: Sports Media Broadcasting, Insurance, Investment Banking
Amazon Web Services - Sr. Big Data Consultant
Designing, organising, and executing the data platform modernization efforts across EMEA. Building cross organisational teams and leading them to success across a variety of industries. Most notable success came in sports media broadcasting, launching the Bundesliga Match Facts first version.
2019 - 2021Employee: Financial Industry > Commercial Banking
ING AI, In House Analytics and ML Consultant
Identifying, verifying, and implementing business opportunities with data and ML in banking for the commercial side of the business. Credit pre-approvals, document processing, and dynamic pricing have been implemented in a data driven way across more than five countries in Europe.
2017 - 2019