Positive, analytical problem-solver with strong foundation in data systems and processes. Possesses solid understanding of data modeling and database design, coupled with skills in SQL and Python. Capable of driving data-driven decision-making and improving data infrastructure.
As a Data Engineer at Amazon, I am responsible for designing, building, and maintaining the data infrastructure that supports various business needs across the organization. I work closely with data scientists, analysts, and other engineers to create robust data pipelines that process large volumes of data efficiently and effectively. This role involves leveraging Amazon's cloud services, particularly AWS, to ensure high availability, reliability, and scalability of data solutions.
Responsibilities:
Programming Languages : Python, SQL
Data Warehousing : Amazon Redshift, Mysql
ETL Tools : Apache Airflow, Apache NiFi
BigData Technologies : Hadoop, Kafka
Cloud Computing : AWS, Azure
E-Commerce Analytics Platform
It create a robust data pipeline that collects, processes, and analyzes data from an e-commerce website to gain insights into customer behavior, sales performance, and product trends. It will support decision-making for marketing strategies, inventory management, and user experience enhancements.