D Anil

Data Engineer @Macy's Retail Holdings, Inc.

Atlanta, GA, US

Proficient in designing and implementing data pipelines for AWS and Azure cloud platforms. Experienced in data extraction, transformation, and loading from AWS and Azure services. Skilled in working with AWS services such as S3, EC2, RDS, Lambda, and Azure services like Data Factory, Data Lake, and SQL Database. Strong background in cloud-based technologies and services, ensuring data security and privacy best practices. Expertise in optimizing data storage and retrieval for performance and cost-effectiveness on AWS and Azure. Hands-on experience with ETL tools like AWS Glue, Azure Data Factory, and data visualization tools like Power BI and Tableau. Proficient in programming languages such as Python, SQL, and Scala for data engineering tasks on AWS and Azure platforms. Assisting in the development and maintenance of data pipelines and workflows. Collaborating with other team members to ensure best practices and quality standards are met. Participating in the development and implementation of ETL processes to extract, transform, and load data from various sources. Assisting in data quality checks and monitoring to ensure accuracy and completeness. Supporting the development and maintenance of data testing frameworks. Learning and staying current with the latest data engineering technologies and best practices. Participating in the design and implementation of database solutions. Developing and maintaining automated data testing frameworks. Staying current with the latest data engineering technologies and best practices. Assisting in the development and implementation of machine learning workflows. Supporting data governance and compliance activities. Participating in code reviews, testing, and quality assurance activities. Providing technical support for data-related issues.