Open to opportunities

Mody Ahmed

@modyahmed

Message

I’m a Data Engineer turning raw data into reliable, actionable insights through scalable Azure pipelines.

United Kingdom

Message

What I'm looking for

I’m looking for a role building reliable Azure data pipelines and cloud platforms with Python and SQL—where I can improve data quality, monitoring, and AI-ready data for measurable business impact.

I’m a Data Engineer and Data Specialist focused on turning raw information into insights that drive decisions. In my current role at City & Guilds, I’m architecting the migration of a 3-server on-prem Data Warehouse (Dev, Pre-Prod, Prod) to an Azure cloud lakehouse using Azure Data Factory (ADF).

I develop and orchestrate robust ingestion pipelines that integrate data from fragmented REST APIs, SQL databases, and multiple file formats including CSV, XML, and flat files. I also introduced a custom monitoring and alerting framework using Azure Monitor and Python-based logging to track pipeline health and support SLA compliance.

I’ve led the data infrastructure for the company’s first AI London Agent deployment, focusing on data cleaning, structuring, and retrieval optimisation. I define and enforce data quality checks (schema validation, null checks, range checks, and duplicate detection) and apply data protection practices such as access control, environment isolation, and secure handling in line with governance standards and GDPR.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

City & Guilds

Feb 2023 - Present (3 years 3 months)

Led legacy-to-cloud modernization and warehouse migration, moving a 3-server on-prem data warehouse to an Azure cloud lakehouse using Azure Data Factory. Built ingestion and orchestration pipelines for fragmented REST APIs and multiple file/database sources, added monitoring/alerting, and implemented data quality and protection controls to support downstream consumers.

Azure Data Factory SQL Python Pyspark REST APIs Data Pipelines azure monitor Data Quality

Data Developer

Delta Capita

May 2022 - Oct 2022 (5 months)

Developed scalable data pipelines and cloud-based platforms using Azure, SQL, and Python to support a financial services team. Created reports and dashboards in Excel, Power BI, and Tableau and supported staffing and cost reporting through data analysis and manipulation.

Azure SQL Python Data Pipelines Excel Power BI Tableau Data Analysis Reporting Data Visualization

Workforce Management Analyst

TikTok

Jan 2020 - May 2022 (2 years 4 months)

Managed workforce scheduling, shifts, and operational KPIs by monitoring incoming workload and making data-informed adjustments to meet staffing needs. Coordinated across stakeholders (including HR and operations), handled shift swap requests and attendance/payroll-related data, and communicated capacity/planning insights.

Workforce Management Budgeting KPIs Data Insights Stakeholder Management Capacity Planning Data Driven Decision Making