Eoghan McGlinchey
Data & Analytics Consultant @SDG Group
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WORK HISTORY
Data & Analytics Consultant @SDG Group
Milton Keynes, GB
Designed, built, and maintained robust ETL pipelines using Matillion, confidently delivering Prep, DWH, and complex Delta jobs involving multi-table joins and transformations.• Played a key role on an external project, developing ingestion functionality to make raw third-party data accessible, aggregatable, and application-ready.• Independently designed and implemented a stored procedure to meet new ingestion requirements - marking the first use of this solution within the project and enabling the feature to be successfully pushed live.• Took full ownership of ambiguous requirements by analysing raw data structures, defining optimal data models, and determining the best technical approach beyond the initial documentation provided.• Proactively upskilled in JavaScript to overcome performance limitations encountered with Python, significantly improving execution speed and reliability.• Implemented comprehensive error handling and validation, ensuring production-ready, resilient data processes.• Successfully delivered two projects for an external client independently, building ETL processes on Snowflake using both scheduled and event-driven triggers.• Actively engaged with stakeholders through weekly progress meetings with the client, and regular collaboration with external consultants for alignment, issue resolution, and knowledge transfer.• Applied strong planning and delivery skills, creating realistic, time-efficient timelines informed by prior project experience and a clear understanding of effort vs. delivery.
EDUCATION
University College Dublin
Bachelor of Science - BSc, Computer Science with Data Science
ABOUT EOGHAN MCGLINCHEY
I’m a Data & Analytics Consultant with hands-on experience designing, building, and delivering production-grade data solutions across consulting, risk intelligence, and enterprise environments.Currently at SDG Group, I work end-to-end on data platforms — from ingesting raw third-party data through robust ETL pipelines to transforming and modelling it for analytics and downstream applications. I’ve independently delivered multiple client projects, building resilient Matillion and Snowflake solutions with strong validation, error handling, and monitoring, supporting successful go-lives of new business features. Clients I’ve worked with include Yell, Ipsos, and Norgine.Previously, I was a Data Analyst at Netwatch Global, where I specialised in processing and analysing large-scale open-source intelligence data for fraud detection and corporate risk. I developed scalable Python and SQL pipelines handling over a billion records, built backend scraping systems across social media platforms, and collaborated closely with engineering and investigation teams to deliver actionable intelligence. I also designed Power BI dashboards used by senior stakeholders to support decision-making.Earlier in my career at Ernst & Young, I worked as a Technology Consultant (Data Engineering) delivering data solutions for public and private sector clients including Tourism Northern Ireland and the HSE. I designed database schemas, automated ETL workflows, built event-driven scraping systems, and developed Python desktop applications — including tools using synthetic data generated via OpenAI’s API to support testing without exposing sensitive information.My technical toolkit includes Python, SQL, Snowflake, Matillion, AWS, Azure, DBT, Power BI, Tableau, and experience with big data and machine learning frameworks such as Spark, TensorFlow, and Keras. I’m comfortable owning problems, working directly with stakeholders, and delivering pragmatic solutions that balance speed, robustness, and long-term value.I hold a BSc in Computer Science with Data Science from University College Dublin and I’m motivated by roles where I can continue building scalable data systems, improving data quality, and turning complex data into clear, usable outcomes.GitHub:(https://github.com/mcglincheyeoghan)
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