Wanjohi Christopher's Linkedin Analytics

As a skilled Data Scientist, and Engineer, I am dedicated to building Data Products that tackle real-world issues in various industries such as Finance, Agriculture, Health, Education, Manufacturing, and Telecommunication. My expertise lies in designing robust data pipeline architectures and automating ETL processes to help organizations make sense of disparate data and resolve complex challenges. I am proficient in various programming languages and tools such as Python, Apache Airflow, Spark, Kafka, SQL, Java, Excel, ETL (Talend), PowerBI, Tensorflow, Natural Language Processing, Git, and Version Control. Additionally, I have experience working with Flask, Streamlit, Heroku, AWS Beanstalk, EC2, EMR, RDS, Redshift, relational SQL, and NoSQL databases, including PostgreSQL, SQL Server, OLTP, and OLAP data processing systems. My expertise extends to DevOps using Docker, Kubernetes, and Data Warehousing, enabling me to deliver top-notch solutions that meet organizational objectives.