otina brian
@otinabrian
Big Data professional specializing in data engineering and analysis.
What I'm looking for
I am a dedicated Big Data professional with 1.5 years of experience in data engineering and analysis. My expertise lies in Python programming and designing scalable data pipelines. I have successfully automated ETL processes, achieving a 10% reduction in average turnaround time and a 5% decrease in refund processing time through data-driven strategies.
Currently, I am working on personal end-to-end data engineering projects, where I design and implement production-grade data pipelines using technologies like Apache Kafka, Apache Airflow, and Snowflake. I am also pursuing my AWS Certified Data Engineer Associate certification while continuously enhancing my skills through practical applications and innovative projects.
Experience
Work history, roles, and key accomplishments
Big Data Engineer Intern
Safra Data
May 2023 - Present (2 years 1 month)
Automated data profiling and quality checks in Python, improving accuracy by 15% and reducing processing time by 25%. Enhanced SQL queries and Airflow Dags (bucketing, salting, partitioning, caching), leading to a 5% increase in job efficiency.
Data Analyst
MultiChoice
Jan 2023 - Present (2 years 5 months)
Achieved a 10% reduction in average turnaround time via ETL pipeline automation. Reduced refund processing time by 5% through data-driven strategies.
Personal End-to-End Data Engineering Projects
Independent Projects
Jan 2022 - Present (3 years 5 months)
Designed and implemented a production-grade data pipeline using Apache Kafka, Apache Airflow, Snowflake, and AWS services. Built real-time ingestion, transformation, and orchestration layers following the Medallion Architecture.
Education
Degrees, certifications, and relevant coursework
Murang’a University of Technology
Bachelor of Science, Applied Statistics with Programming
Activities and societies: Relevant Coursework: Statistical Inference & Probability Theory, Applied Regression Analysis, Multivariate Analysis, Design and Analysis of Experiments (DOE), Sampling Techniques, Time Series Analysis, Database Systems (SQL), Programming in Python & R, Machine Learning, Fundamentals, Data Visualization & Reporting
Studied Applied Statistics with Programming, covering Statistical Inference & Probability Theory, Applied Regression Analysis, and Multivariate Analysis. Gained expertise in Database Systems (SQL), Programming in Python & R, Machine Learning Fundamentals, and Data Visualization & Reporting.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
portfolio.comJob categories
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