I am a data specialist with broad experience in data engineering, data modelling, business intelligence, analytics and data quality. I have also worked as a team lead for multiple years, guiding teams through complex data projects and helping colleagues grow in both their technical skills and their confidence.

I enjoy bringing a team to a higher knowledge level and making it more efficient by improving and optimising the processes that support their work. Seeing a team develop, collaborate more smoothly and deliver stronger results is one of the most rewarding aspects of what I do.

My experience allows me to connect business questions with technical solutions and to deliver results that are practical and aligned with organisational goals. Throughout my consulting career, I have supported clients in various industries and have taken on roles ranging from developer to analyst to coordinator.

I value clear communication, structured thinking and a hands‑on approach. Much of my work involves translating business requirements into technical designs, reviewing and testing implementations and ensuring that solutions are reliable and easy to maintain. I am analytical, calm and focused on prioritising what truly matters for a project. I adapt quickly to new environments and enjoy supporting the growth of others through mentorship and collaboration.

My goal in every assignment is to build data solutions that are reliable, understandable and genuinely useful for the people who depend on them.

Unlock the Full Potential of Your Data

Modern organisations need more than dashboards. They need a data platform that is reliable, scalable and built with software‑engineering discipline. I help teams create this foundation by combining version control, Git‑based workflows, CI/CD, strong data modelling and the power of cloud technologies such as Snowflake, Azure Databricks, AWS Redshift and BigQuery.

With dbt, I design clear and maintainable models and build semantic layers that give teams consistent and reusable business logic. This creates trust in the data and speeds up delivery across analytics and engineering teams.

I support organisations with the full lifecycle of their data:

Data Warehousing
Building structured, cloud‑ready environments that are scalable, transparent and easy to maintain.

Data Migrations
Ensuring data remains accurate and usable when systems evolve, merge or move to the cloud.

Data Virtualization
Providing real‑time access to data without duplication using tools like Denodo.

Data Quality & Testing
Setting up automated SQL‑based tests that keep data reliable as new features are introduced.

Tech Stack
Snowflake, Azure Databricks, AWS Redshift, BigQuery, dbt Core, Matillion, SQL Server, Oracle PL/SQL, Denodo, Git, CI/CD, Airflow, SQL.

My focus is on building modern, efficient and understandable data platforms that help organisations move faster and make better decisions.