Johnson Philip

Background

About Johnson Philip

Highly skilled and results-oriented Data Engineer with a strong foundation in Mathematics, Data Science, and Machine Learning. I specialize in designing and maintaining ETL pipelines, building predictive models, and leveraging advanced analytics to solve complex problems and support data-driven decision-making. Proficient in tools and technologies like Talend, Python, SQL, Snowflake, DBT, Power BI, and Tableau, I also bring extensive expertise in database management systems, including MySQL, SQL Server (relational databases), MongoDB (NoSQL), and Google BigQuery. My programming experience spans R, SPSS, Matlab, HTML, CSS, and PHP, ensuring versatility across diverse projects and challenges. With hands-on experience in big data platforms such as Kafka, Spark, Hadoop, and Microsoft Azure, I deliver scalable, efficient data solutions. My focus on machine learning includes developing and deploying models to uncover trends, optimize operations, and provide actionable insights. I am skilled in exploratory data analysis (EDA), statistical modeling, creating interactive dashboards, and supporting strategic decision-making in various sectors.