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Emmanuel Onwubuya

@emmanuelonwubuya

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Data & AI engineer building scalable pipelines and AI-driven data products to power better decisions.

Germany

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What I'm looking for

I seek a role where I can build end-to-end, AI-powered data ecosystems, work cross-functionally, optimize pipelines, and drive measurable business impact.

I am a Data & AI Engineer with over four years of experience building scalable data pipelines, optimizing cloud architectures, and delivering production-grade AI solutions. I specialize in integrating Databricks, Snowflake, and major cloud platforms to enable reliable analytics.

I have migrated and modernized hundreds of ETL models, implemented CDC and incremental loads, and reduced pipeline runtimes and cloud costs through performance-driven engineering. I design Medallion (Bronze–Silver–Gold) architectures and Data Vault patterns to ensure data lineage, auditability, and cross-domain scalability.

I build AI-augmented applications and LLM-driven analytics workflows using LangChain, OpenAI APIs, Streamlit, and FastAPI to automate metric validation, anomaly detection, and natural-language data exploration. I regularly translate technical concepts into business value for non-technical stakeholders.

I bring a pragmatic, outcome-focused approach to data engineering and applied AI, with strengths in pipeline optimization, stakeholder management, and ethical, production-ready model integration.

Experience

Work history, roles, and key accomplishments

Current

Data & AI Engineer

Current

Wefra Life

Jan 2024 - Present (1 year 9 months)

Developed scalable data pipelines and migrated 200+ ETL models to Databricks, cutting pipeline runtime by 50%, query latency by 45%, and cloud costs by 25%; built AI-augmented apps and LLM-driven analytics reducing manual query time by 40%.

Databricks Snowflake DBT Python Pyspark OpenAI API Streamlit fastAPI

Data Engineer

Accenture

Jan 2022 - Jan 2024 (2 years)

Built scalable PySpark and SQL pipelines for large heterogeneous datasets, automated ETL workflows reducing manual effort by 30%, and optimized query performance to cut data load times up to 40% while lowering cloud costs by 20%.

Pyspark SQL Data Warehousing ETL Skywise Palantir BASH Linux Partitioning

Junior Analytics Engineer

Domicil Real Estate Group

Jan 2021 - Jan 2022 (1 year)

Automated recurring ETL workflows with Python and shell scripts, integrated APIs into cloud data warehouses for reliable ingestion, and supported VM operations to streamline environment provisioning.

Python SQL Shell Scripting API Integration Cloud VMs BASH Linux Data Ingestion ETL Postgres

Education

Degrees, certifications, and relevant coursework

Universität Hildesheim

Master in Data Analytics and Machine Learning, Data Analytics and Machine Learning

Completed a Master in Data Analytics and Machine Learning focusing on applied data science and machine learning techniques for analytics and AI-driven solutions.

Voronezh State University

Bachelor of Engineering, Information Systems and Technologies

Earned a Bachelor of Engineering in Information Systems and Technologies with emphasis on information systems, software and data engineering fundamentals.