I am a Data Engineer with three years of experience and a Master's degree in Data Science. I am adept in Python, R, SQL, and various database systems. My expertise lies in data warehouse principles, machine learning algorithms, and I employ tools such as Spark, Kafka, and PowerBI to streamline data analysis processes effectively.
In my previous role at Appmandi, I played a pivotal role in extracting and processing data from over 20 websites through advanced web scraping techniques. This resulted in a remarkable 40% reduction in data collection time. I also engineered a user-centric application leveraging machine learning, which significantly increased user engagement. Additionally, I organized and stored processed data in databases for efficient retrieval from 50,000+ records.
During my time at Aircom Solutions, I architected and streamlined intricate ETL workflows for processing large-scale Big Data sets. I optimized workflow execution times by 50% and enhanced data analysis efficiency and accuracy. I also crafted and fine-tuned Snowflake database stored procedures to streamline querying and storage of Big Data, resulting in improved capabilities for advanced analytics. Furthermore, I synchronized ETL processes with functional requirements, customized table structures to enhance usability for end-users, and streamlined data consumption for dashboard teams, resulting in increased data retrieval speed and reduced dashboard loading times.
