Victoria D.

Are you looking for a Data Analyst or Data Engineer who can transform fragmented, manual or unreliable data into structured, automated and actionable solutions?

I help companies collect, clean, transform and centralise their data so that teams can access reliable information, automate reporting and make better business decisions. I work across the full data lifecycle, from creating APIs and databases to building ETL/ELT pipelines, validating data quality, creating analytical datasets and delivering clear dashboards and performance insights.

What differentiates me is my ability to combine data engineering, analytics and business understanding. I do not only build technical workflows: I ensure that the data produced is accurate, well-structured and aligned with your operational, marketing, finance or product objectives.

As a former Business Intelligence Manager at WPP in New York, I worked on international data projects for clients such as DoorDash and Paramount Pictures, supporting media budgets of up to $120M. I automated more than 50 data extractions, improved data integration and quality-control processes, and contributed to reducing manual reporting time by up to 80%.

I regularly deliver automated data pipelines, API integrations, SQL data models, data-cleaning and reconciliation workflows, Python scripts, reporting datasets, KPI frameworks and Power BI or Tableau dashboards. I can also support database analysis, process documentation, requirements gathering, user stories, testing and UAT.

My technical stack includes SQL, Python, APIs, ETL/ELT, Power BI, Tableau, Excel, Alteryx, BigQuery, Snowflake, PostgreSQL, SQL Server, GCP, Azure and AWS.

You will receive reliable, documented and scalable deliverables designed to reduce manual work and make your data easier to use. I work fluently in English and French on one-off assignments, recurring reporting needs or longer-term data engineering and analytics projects.