Data architect / engineer
20+ years' experience in data solutions
nicknamed “Swiss Army knives Data”
autonomous and fast
international level Puzzler (WPF)
the design, development, deployment,
optimization or review
of simple , reliable and scalable BI solutions
using modern data stack tools
combining different technologies and frameworks
on major cloud platforms
Strategic consultancy offering practical ways to cut Business Intelligence costs without affecting functionality or performance.
Focus on identifying cost-saving opportunities in storage, computing, and software as a service, ensuring you get the most value from your BI investments..
Write and maintain efficient and robust data pipelines and ETL/ELT processes.
Selection and integration of appropriate data storage technologies , datawarehouses, data lakes.
Assemble, prepare, cleanse, analyze and transform large data sets. Build and enhance and efficient data warehouses and data marts to support data analytics and business intelligence activities and data models that align with business outcomes.. Relational / Kimball / OBT Data modeling.
Identification of data enrichment opportunities.
Implemention of methods to improve data reliability, quality, and security from data ingestion to data consumption. Identification of trends, patterns, and anomalies in the data, providing actionable insights and recommendations to improve business outcomes.
Ensure data accuracy and integrity through regular data quality checks and validation processes.
Develop, refine, or evaluate BI solutions.
Expert insights into technical choices, architectural strategies, data governance.
Presentation of the pros and cons to guide decision-making with industry best practices.
Proactively monitor, troubleshoot, and optimize performance to ensure maximum system reliability and efficiency.
Create clear technical documentation, deliver user training, and offer ongoing support to ensure smooth adoption and usage.
Design and implement data security and access control mechanisms to protect sensitive data and comply with data privacy regulations.
Data anonymization / pseudonymization.