Samuel Wanjohi

As an accomplished Software Engineer with over 4 years of experience in developing commercial software applications, highly motivated to tackle new challenges and build innovative solutions that drive business growth.

Throughout my career, I have consistently ensured high system availability and reliability, leading to a 96% on-time project completion rate. Have also been successful in building big data automation pipelines, resulting in an 80% reduction in manual work and increased operational efficiency. Expertise in designing robust database systems and APIs, following industry best practices, has enabled me to develop highly scalable and efficient software applications.

As a team player, have worked collaboratively with diverse teams to achieve outstanding results on various projects. Have also acquired strong communication skills, which allow me to work seamlessly with cross-functional and global teams.

In addition to my core technical competencies, have extensive experience with Power BI and Power Automate, allowing me to design and implement complex data visualization and automation solutions. I am currently expanding my skill set to include Machine Learning and Data Science, as I believe these areas will drive significant business value in the future.

Overall, my technical expertise in .NET Core, Node.js, Python, React.js, and Android, combined with my proficiency in Azure/Firebase Cloud Solutions, data analysis, and emerging technologies, positions me to be a valuable asset to any organization looking for a highly skilled and motivated Software Engineer.

• Successfully optimized existing financial systems, resulting in increased runtime and reduced memory usage.
• Designed and implemented financial solutions that ensured availability and reliability, by adding new hardware and reusing existing resources to handle high traffic volumes.
• Evaluated both new and existing financial systems infrastructure, enabling scalable solutions to be developed.
• Conducted thorough data analysis using Python Pandas, NumPy, and Matplotlib, transforming raw data into the required format for reporting and decision-making purposes.
• Developed efficient ETL pipelines for extracting, transforming, and loading data from Big Data platforms, using U-SQL/MSSQL/C#/Python, and visualized results using Power BI.
• Automated ETL pipelines using Azure Data Factory, Xflow, and Lens Explorer, resulting in significant time and cost savings.
• Streamlined business processes and automated data flow into Power BI by utilizing Microsoft Power Automate.
• Designed and built efficient Restful APIs using .NET Core Framework and SQL Server, utilizing the Repository Design Pattern for optimal performance.
• Successfully engineered software applications using C#, React Js, and Node Js, delivering solutions that met business requirements and user needs.
• Utilized Azure Cloud Services to host applications, securely store Secrets and certificates, build event-driven applications, and store and retrieve blobs, as well as to host function apps.