Dean N.

Dean N.

Data Engineer

United Kingdom
Trusted member since 2024
6 years of experience

He is highly proficient in handling large datasets, optimizing data workflows, and ensuring the accuracy and reliability of data for analysis and reporting.

He is a self-starter, capable of working autonomously, yet he excels equally well within collaborative team environments.

Dean's passion for technology drives him to continually enhance his skills, embracing new tools and methodologies that contribute to more effective data management and analysis.

Main expertise

TerraformTerraform4 years
ETLETL4 years
PythonPython4 years
SQLSQL6 years
6+

Experience6

King

Data Engineer

King
Gaming
Aug 2022 · 3y 7m
  • Utilized Airflow to develop ETL pipelines, transforming data from raw formats to readily usable forms for insights.
  • Employed Cloud Functions, Scheduler, and Sheets to build ETL pipelines that allowed input from less technical stakeholders.
  • Enhanced data quality and reduced pipeline faults by creating monitoring and alerting dashboards using GCP Cloud Monitoring.
  • Designed data warehouse tables with a focus on efficiency and cost-effective querying, utilizing partitioning and clustering techniques.
  • Improved codebase maintainability by applying DRY principles and using Jinja where applicable.
  • Enhanced the CI/CD pipeline by integrating testing for SQL scripts.
  • Used Terraform to programmatically create and manage GCP resources.
DataflowDataflow
Inmarsat

Data Engineer

Inmarsat
Telecommunications
Jan 2022 - Jul 2022 · 6m
  • Utilized a combination of EC2 instances and command line to SSH into on-premises machines and transfer CSVs to S3 buckets.
  • Replaced Airflow with Prefect to transform data, optimizing the workflow management process.
  • Employed DBT and Jinja to build test scripts and construct the data warehouse.
  • Used Terraform to programmatically deploy GCP resources.
LADbible Group

Data Engineer

LADbible Group
Entertainment and Media
Dec 2020 - Jan 2022 · 1y 1m
  • Used Apache Beam / Google Dataflow to build batch processing pipelines.
  • Automated multiple ETL pipelines that extracted data from various sources, including cloud storage, Google Sheets, and APIs, specifically targeting Snapchat and Ad Revenue data with outputs to BigQuery tables or dashboards.
  • Ensured code was unit testable by using Pytest and applying a Test-Driven Development (TDD) approach.
  • Created dashboards in Google Data Studio (GDS) and set up alerting in GCP to monitor data pipelines.
  • Used Terraform to provision resources on GCP.
DataflowDataflow
Publicis Media

Data Analyst

Publicis Media
Marketing and Advertising
Jan 2020 - Jul 2020 · 6m
  • Wrote SQL queries for dimensional data modeling in Power BI.
  • Utilized Python (Pandas) to manipulate datasets for export into Excel.
  • Created bespoke Power BI reports to provide clear and concise insights into data.
  • Used DAX language within Power BI to transform and calculate data.
  • Performed ETL of data from various sources to build data models, typically in Star schema form.
  • Pulled data from various sources, created relationships between datasets, and modeled the data.
PandasPandas
Veolia

Data Analyst

Veolia
Environmental Services
Jul 2018 - Dec 2019 · 1y 5m
  • Utilized a combination of Power BI and SQL to create data models and develop insightful reporting visualizations.
  • Built and took ownership of Power BI apps, monitoring and ensuring access for important stakeholders.
  • Applied DAX within Power BI to create calculations and measurements on dashboards.
  • Developed KPI reports and dashboards in Excel using data imported and refreshed from SQL databases.
  • Extracted data from SQL and performed analysis in Excel using advanced formulas and functions.
  • Created intelligent web applications for operatives using data imported into Esri ArcGIS.
  • Wrote efficient and complex SQL queries incorporating pivots, joins, and nested queries.
Data Analytics
Top Up Consultants

Business Applications Analyst

Top Up Consultants
Banking and Finance
Dec 2017 - Jul 2018 · 7m

  • Amended and manipulated data within the database using SQL queries.

  • Imported data from MRI and analyzed it in Excel to resolve client issues.

  • Opened and closed accounting periods on a monthly basis using complex code.

  • Analyzed data to resolve issues such as unbalanced bank accounts or unlinked child-parent transactions, with backups taken in Excel before troubleshooting.

  • Performed DBA tasks such as adding or removing users and amending security settings and access.

  • Mined data to balance accounts in the database.

  • Searched for missing data on VAT reconciliation reports.

Assessments

Engineering excellence

Dean’s overall performance in a 90-minute live technical assessment ranks in the top 10% of vetted Data Engineers at Proxify.

Education

De Montfort University
De Montfort University
Business Administration, Management and Operations2009 - 2011

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