Daniel Waites

Data Solutions Consultant @Urban Element

Manchester, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jul 2023 — Present

Data Solutions Consultant @Urban Element

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Manchester, GB

Partnering with marketing agencies to modernize data infrastructure, automating manual reporting workflows with Python, and building scalable cloud analytics solutions.Key Projects & Engineering:Python Automation Pipelines: Developed custom Python scripts to replace manual data entry processes, significantly reducing reporting time and error rates for agency clients.Data Product Development: Built a custom \"Keyword Cluster\" tool using Python and Pandas to categorize large-scale SEO datasets, enabling content teams to identify competitor gaps instantly.Cloud Analytics: designing lightweight ETL/ELT pipelines to centralize disparate marketing data, preparing client infrastructure for migration to cloud environments (GCP/Fabric).Tech Stack: Python, SQL, Pandas, Pyspark, APIs, Google Cloud Platform (GCP), Microsoft Fabric.

EDUCATION

2020 — 2023

The Open University

BSc Hons, Data Science

1997 — 2000

John Hanson Community School

GCSE, Maths, English and Science

ABOUT DANIEL WAITES

I am an Analytics Engineer focused on the \"build\" side of data: automating pipelines, architecting cloud warehouses, and turning messy CSV workflows into scalable, modern data systems.​Having worked as a Data Analyst, I have a unique advantage: I don\'t just build pipelines that work, I build pipelines that analysts actually want to use. I understand the frustration of broken reports and dirty data, so I design infrastructure specifically to solve those downstream problems.​How I Help Teams:​Analytics Engineering: I bridge the gap between raw data and business insights using Python, SQL, and transformation logic.​Cloud Architecture:I design and deploy serverless solutions on Google Cloud Platform (BigQuery, Cloud Functions) and Microsoft Fabric.​Automation:If a human has to click it more than twice, I script it. I build Python automations to handle everything from API data extraction to complex commission calculations.​Technical Toolkit:​Languages:Python (Pandas, API Integration), SQL (Advanced Window Functions, Stored Procedures).​Cloud: Google Cloud Platform (BigQuery, IAM, Cloud Run)Microsoft Fabric.​Visualization: Tableau, Looker Studio, Power BI​I am currently working on independent data analysis and engineering projects and am open to contract or permanent opportunities where I can help teams modernize their data stack and drive engineering maturity.

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Daniel Waites — Data Solutions Consultant at Urban Element in Manchester, GB | Unifers