Senior Data Engineer & Doctor of Computer Science, Based in the U.S.
I hold a Doctor of Computer Science (D.C.S.) and have 8+ years of experience in data engineering and analytics. I have built cloud data pipelines and lakehouse platforms on Azure, Databricks and Snowflake for Ford, Amgen and Bayer, and I build production data products with LLM integration and agentic AI.
I've built data platforms in four industries, each with its own scale and compliance demands.
Manufacturing data pipelines processing millions of plant records daily at Ford
Drug product data systems, stability testing validation and FDA/GxP requirements at Amgen
Enterprise Snowflake analytics platform and global KPI reporting at Bayer
Energy consumption forecasting and utilization analytics at Brightly Software
Take a look at some of the things I love working on.
I maintain servers for database storage, model training, and model deployment.
I apply NLP techniques for customer feedback analysis, document processing, and automated data extraction.
I develop predictive models and algorithms, focusing on both theoretical understanding and practical implementation.
I design and optimize ETL pipelines for big data processing and analytics across distributed systems.
I implement machine learning models in real-world production systems using REST APIs.
I transform complex data into actionable insights through visualization and strategic analysis.
Feedback from colleagues and stakeholders across industries
"Kalu's data engineering expertise transformed our pharmaceutical data processing workflows. His automated pipelines and compliance-focused solutions were critical to our success."
"Exceptional technical leadership in automotive data engineering. Kalu's PySpark optimizations and dashboard implementations significantly improved our decision-making processes."
"Outstanding Tableau dashboard development and customer segmentation analysis. Kalu's stakeholder collaboration and data pipeline expertise drove significant business insights."