Emmanuel Victor Kamya
Data Engineer - Sr Consultant @Booz Allen Hamilton
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WORK HISTORY
Data Engineer - Sr Consultant @Booz Allen Hamilton
San Diego, CA, US
Optimized high-cost Databricks jobs by configuring optimal worker nodes and cluster types, reducing DBU consumption by 40% and significantly lowering cloud infrastructure costs for clients Built monitoring system using AWS Lambda, Databricks, and Python to track pipeline success rates, generate weekly reports, and provide real-time alerts to data engineers, reducing turnaround time for refactoring poorly performing pipelines Developed scalable data pipelines using AWS S3, Databricks, and PySpark with medallion architecture to process 120GB+ datasets for 10+ clients, ingesting data into lakehouse environments for analytics and business intelligence Created automated recovery framework using Databricks REST API that detects and repairs failed jobs every 30 minutes, improving platform job success rate by 20% Mentor engineering community delivering monthly Databricks demonstrations on MLflow, parallel processing, and streaming, reviewing client pipeline changes to ensure rigorously designed and performance-tuned solutions Developed LLM-powered RAG chatbot using LangChain, Neo4j, and Python, implementing similarity search across knowledge-graph-backed document library to deliver grounded, accurate responses Leveraged 4-bit quantization, QLoRA, and BitsAndBytes to fine-tune LLM using minimal computation power through PEFT techniques Built intelligent RAG chatbot using FAISS vector store and MLflow endpoint on Databricks with semantic chunking across 10K+ documents including documentation, visualization tools, and CI/CD workflows to answer platform FAQs, reducing support volume by 18%
EDUCATION
Makerere University
Bachelor's degree, Computer Science
Syracuse University
Master of Science - MS, Applied Data Science
ABOUT EMMANUEL VICTOR KAMYA
I turn chaotic data into clarity—the kind that reshapes business strategy.I’m a Data Engineer who builds the kind of infrastructure data scientists brag about. Production pipelines that don’t collapse in the middle of the night. Data warehouses that grow effortlessly as your company does. ETL systems that make “no way this will run” queries finish in seconds instead of hours.My toolbox of choice: Databricks, AWS, Spark. I design architectures that manage enterprise-scale workloads while staying cost-efficient and lightning fast.And here’s the twist: I build AI too. Production-grade RAG chatbots that deliver real answers. Sentiment analysis that uncovers what customers truly feel. LLMs that are fine-tuned, deployed, and actually used—not just tinkered with.Master’s in Data Science. Databricks certified. I connect the world of data architecture with the world of intelligent systems—building platforms that don’t just hold data, but activate
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