DataSommelier delivers data architecture solutions in clouds and on-premise – from design to implementation to production: references include global, multinational and national companies on industries of e.g. logistics, forestry, telco, gaming, marketing, banking.
Recent deliveries include data modeling (e.g. MS Dynamics data model revamp for banking needs), AI LLM data-pipelines, cloud data-architecture performance hardening for data lakes and scaling database architectures, data engineering, organization data quality improvements in-cloud and on-premise and technical leading of machine learning and advanced cloud system teams.
I ensure your data delivers value: the most usable data models, data organized optimally for your business benefiting use cases, the integrations, the quality, the coverage, the reliability, the feasibility for the tools at your disposal.
NOTE: for business decisions, analytics, reporting, machine Learning, in-house AI/LLM utilization … benefit from any of these is a direct function of the quality of data you have.
For that reason: I care about the data, for that is the one bit where you just can’t cheat. AI can’t fix your data – the problem of GIGO (garbage in garbage out) has gone nowhere.
Examples of services:
- Data architecture and data modeling: databases and data lakes, in cloud, on premises – organized cloud or in-house RDBMS:s – we organize data so you and your team can get insight from it.
- Data pipeline building: get your data flowing from your sources (via AI APIs, if needed) to your data asset so you can start using it.
- Data quality monitoring solutions: automated data quality monitoring, so you know when to trust your data to feed your ML and LLM:s to guide your decisions…and when and what to fix.
- Data strategy – data modeling, quality and analytics maturity audits: data evaluations to tell what business value you could gain from your data and what exactly you need to make it happen. And I can build that too.
- BI and reporting dashboards, data artistry: data talks and is beautiful, don’t you think? Power BI is the house favourite, but others are OK too.
- Analytics-related technical project management: close to 20 years of experience in making data-related software and solution teams deliver, across industries, countries and continents.
Contact: datasommelier@outlook.com
LinkedIn.
I Tweet: https://x.com/datasommeliers
