Naila S.
Analytics Engineer @Mars
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WORK HISTORY
Analytics Engineer @Mars
London, GB
Design, build, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, SQL, and Azure data services to support analytics and reporting use cases.• Implement data models (star / snowflake schemas) to enable performant, business-friendly analytics across multiple domains.• Own end-to-end pipeline reliability, including monitoring, incident resolution, and operational support during peak and holiday periods.• Collaborate closely with analytics, engineering, and business stakeholders to translate requirements into robust data solutions.• Contribute to improving data quality, pipeline performance, and automation, reducing manual intervention and improving trust in data.• Work within Agile delivery frameworks, supporting continuous improvement and documentation using Azure DevOps and Confluence.
EDUCATION
Anglia Ruskin University
Master's degree, Applied Data Science
Air University
Bachelor’s Degree, Electrical Engineering
ABOUT NAILA S.
Analytics Engineer with experience building reliable, scalable data platforms that support business decision-making across complex environments.I currently work as an Analytics Engineer at Mars, where I design, maintain, and monitor data pipelines with a strong focus on data quality, reliability, and operational excellence. I’ve been trusted to support critical pipelines during high-responsibility periods, ensuring continuity for downstream reporting and analytics.My background spans analytics engineering, data analysis, and business analysis, which allows me to bridge technical implementation with real business needs. I enjoy working closely with cross-functional teams to translate requirements into well-modelled, performant data solutions. Core strengths include data modelling (star and snowflake schemas), ETL/ELT pipeline development, and warehouse optimisation Hands-on experience with Python, SQL, PySpark, Databricks, and Azure data services Comfortable working in Agile environments with a focus on collaboration, automation, and continuous improvementOutside of work, I enjoy travelling and exploring new places, cultures, and cuisines, as well as hiking and spending time outdoors. These experiences keep me curious, adaptable, and grounded.I’m passionate about building dependable data systems that teams can trust and continuously improving analytics platforms at scale.
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