Not just a Data Engineer. A problem solver forged by 8 months of relentless self-study.
I turn complex data chaos into clear, scalable value.
IDENTITY: Subject 894-B
CLEARANCE: LEVEL 7
I didn’t start in a computer lab; I started with a BSc in Statistics and a curiosity I couldn’t shake.
It took eight months of relentless self-study after my graduation to transform from a non-tech
background to a Data Engineer.
I don't just build pipelines, I build them with the resilience of someone who taught
themselves how to code, and the precision of someone who understands the math behind the data.
Spearheading the migration of legacy systems to a serverless AWS architecture. Reduced data latency by 40%.
Learning and Practicing Data
Analysis and Machine Learning.
Specialized in Statistical Analysis and Machine Learning.
Real-time streaming data architecture handling 50k events/sec.
Optimized Snowflake schemas reducing query costs by 30%.
Machine learning model for predictive system maintenance.
Exploring advanced techniques for building real-time data pipelines that can handle millions of events per second. Learn how to leverage Apache Kafka and Spark Streaming for maximum efficiency.
READ MOREA comprehensive guide to deploying machine learning models in production environments. From containerization with Docker to orchestration with Kubernetes.
READ MOREDiscover how to build cost-effective, scalable data solutions using serverless technologies. Real-world examples using AWS Lambda, S3, and DynamoDB.
READ MORE