Experienced AWS Data Engineer specializing in designing scalable data architectures, optimizing ETL pipelines, and implementing real-time data processing solutions. Proficient in leveraging AWS services like S3, Redshift, and EMR for data transformation and storage. Skilled in building CI/CD pipelines with AWS CodeBuild and Jenkins, enhancing deployment efficiency. Strong background in monitoring AWS resources with CloudWatch to improve performance and reduce costs. Adept at creating data-driven insights through advanced analytics tools like Tableau and Power BI, empowering stakeholders to make informed decisions.

Results-driven Azure Data Engineer with extensive experience in large-scale data transformations, real-time analytics, and data security. Skilled in leveraging Azure HDInsight, Synapse Analytics, and Azure Data Factory for scalable data solutions. Proficient in designing event-driven workflows using Azure Functions and integrating data with Informatica PowerCenter to ensure quality and integrity. Expertise in building and optimizing data pipelines with Spark, Hive, and Kafka for advanced analytics and centralized logging. Adept at developing secure and compliant data architectures with Snowflake and MongoDB, ensuring alignment with GDPR and HIPAA standards. Passionate about delivering actionable insights through innovative data solutions.

AWS Data Engineer with expertise in securing sensitive data, optimizing query performance, and developing scalable data solutions. Skilled in designing disaster recovery plans for AWS Glue and RDS, ensuring data integrity and compliance with privacy standards. Proficient in building efficient ETL pipelines using PostgreSQL and automating data integration with AWS Glue. Experienced in real-time data processing using Kinesis and Scala, as well as creating authenticated, insight-driven dashboards with QuickSight and AWS Lambda. Dedicated to delivering reliable, high-performance solutions that drive business success and maintain data governance.

• Installed, configured, and maintained IPv4 and IPv6 networks, providing a strong foundation for managing distributed systems and cloud-based data architectures.• Conducted testing and troubleshooting, maintained documentation, and contributed to team discussions.• Implemented routing protocols, a skill that supports understanding and optimizing data flows in distributed data processing systems like Apache Kafka or cloud services.