Nelson Ukaegbu
Data Engineer @Microsoft
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Microsoft
US
Design, develop, and maintain robust, scalable data integration pipelines across multiple Microsoft platforms and services. Leverage Azure Data Factory, Databricks, and Synapse Analytics to ingest, transform, and deliver high-quality datasets for analytics, AI, and operational systems.Implement and manage secure, high-performance data lakes (Azure Data Lake Storage) and cloud warehouses (Azure Synapse). Ensure optimal storage strategies, metadata management, and governance frameworks that support IDEAS team analytics and product initiatives.Develop automated validation, monitoring, and cataloging processes using Azure Purview and Power BI Dataflows. Collaborate with cross-functional teams to ensure datasets are accurate, documented, and accessible for decision-making across the IDEAS team.
EDUCATION
Lancaster University
Postgraduate Degree, Data Science
New Horizons of Minnesota
Diploma, Software Engineering
NIIT Pune
Diploma, Web Developments & Digital Marketing
Federal University of Technology Owerri Nigeria
Bachelor's degree, Petroleum Engineering
NIIT Pune
Oracle Database 12c
ABOUT NELSON UKAEGBU
I’m a Senior Data Engineer and Team Lead at Microsoft with over 7 years of experience designing and delivering scalable, production-grade data solutions across cloud and on-premise environments. I currently lead a team of five engineers within the Microsoft IDEAS Data Team, building the data infrastructure that powers product innovation and customer-driven initiatives. I specialize in architecting modern data platforms that transform raw data into trusted, high-impact insights. From implementing Medallion Architecture with Delta Lake to optimizing large-scale distributed pipelines, my focus is always the same: measurable business impact, performance, and reliability at scale. Throughout my career, I’ve delivered solutions that improved analytics latency, optimized infrastructure costs, and enabled smarter, data-driven decision-making across engineering and product teams. Technical Expertise Languages & Frameworks: Python, SQL, Spark (PySpark) Data Platforms: Databricks, Snowflake Streaming & Distributed Systems: Kafka Cloud: Microsoft Azure (Data Lake, Synapse, DevOps) DevOps & CI/CD: Azure DevOps, automated deployment pipelines Data Architecture: Lakehouse, Medallion Architecture, scalable ETL/ELT design What Sets Me Apart Proven experience leading and mentoring high-performing data engineering teams Strong balance of hands-on technical depth and strategic leadership Ability to translate complex business requirements into scalable, production-ready data solutions Passion for building systems that drive efficiency, clarity, and growth.I’m always open to connecting with professionals who are passionate about data engineering, cloud architecture, and building impactful systems. Open to relocation and excited about global collaboration and new opportunities.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.