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Ser Cos

@sercos

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I build AI/ML, cloud, governance, and knowledge-graph data pipelines.

United Kingdom

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What I'm looking for

I'm looking for AI/ML or data engineering work where I can build cloud data pipelines, data governance, machine-learning solutions, and knowledge graphs across complex enterprise environments.

I've delivered enterprise data governance and Microsoft Fabric integration for Argenx, building pipelines that connect Microsoft Purview and Alation for cataloguing, lineage, and bi-directional metadata consistency across 1,000+ assets.

I build ingestion, quality, and reporting workflows with Python, PySpark, Azure Data Factory, Synapse Analytics, Azure Key Vault, Blob Storage, and Power BI. My work supports secure, scalable processing and stakeholder visibility into metadata coverage, lineage completeness, and data quality.

At GSK, I've worked across Anzo, Neo4j, Azure, and Hortonworks projects, using NLP, semantic technologies, machine learning, and knowledge graphs to support analytics, classification, inference, customer segmentation, safety-stock optimisation, and manufacturing anomaly prediction.

I've also built data lakes, ETL/ELT pipelines, warehouses, APIs, and real-time streaming solutions for SSE and other organisations. I enjoy turning structured, semi-structured, and unstructured data into reliable platforms that teams can use for operational and business decisions.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Data Engineer

Current

London Bridge IT Ltd

Sep 2016 - Present (10 years)

Freelance contractor delivering data engineering and AI/ML solutions across multiple sectors including banking, telco, energy, healthcare, and agronomy.

Python Go Big Data Hadoop AWS Azure Snowflake MLOps Spark Kafka Data Pipelines ETL ELT Machine Learning Neo4j Anzo Power BI

Enterprise Data Governance & Microsoft Fabric Integration

Argenx

Jan 2024 - Jan 2026 (2 years)

Architected end-to-end data governance pipeline on Microsoft Fabric integrating Microsoft Purview with Alation for enterprise-wide data cataloging and lineage tracking. Built automated data ingestion workflows and implemented Azure-native data pipelines for scalable data processing.

Microsoft Fabric Azure Data Factory Microsoft Purview Alation Azure Blob Storage Azure Key Vault Power BI Python PySpark

Graph DB Anzo & Neo4j

GSK

Jan 2021 - Jan 2024 (3 years)

Worked on NLP, machine learning, and semantic text mining to translate data into machine understandable representations. Developed end-to-end data pipelines with Python and used Cypher for transforming relational datasets into Neo4j.

NLP Machine Learning Semantic Technologies OWL SPARQL Anzo Neo4j Python Cypher Py2neo AWS RedShift PostgreSQL

Azure Data Engineer

GSK

Jan 2019 - Jan 2021 (2 years)

Worked on the Safety Stock Optimizer project using AI/ML techniques to quantify demand and supply uncertainties. Used Azure Data Factory for end-to-end data pipelines and Azure Databricks for AI/ML model development.

Azure Data Factory Azure Data Lake Azure Databricks Delta AI ML Decision Trees Data Pipelines

Big Data Engineer

GSK

Jan 2018 - Jan 2019 (1 year)

Worked on AI Prediction Model and Root Cause Analysis project to identify key indicators of anomalies in manufacturing performance. Created holistic data infrastructure and data lake/marts for manufacturing lines.

Python NiFi Sqoop Flask Django Oozie Airflow Hive Pig Shell Scripts PySpark Go

Data Warehouse Engineer

SSE

Jan 2017 - Jan 2018 (1 year)

Worked on Smart Meter Transformation project and created/maintained optimal Data Lake and data pipeline architecture. Optimized Report Data Warehouse and Data Mart construction for performance, access, and integration.

SQL Server Oracle MySQL ELT T SQL Stored Procedures Data Modeling Power BI