otina brianOB
Open to opportunities

otina brian

@otinabrian

Big Data professional specializing in data engineering and analysis.

Kenya

What I'm looking for

I am looking for a Data Engineer role that fosters innovation and offers opportunities for professional growth.

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

SD

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.

IP

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

MT

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

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