● Transitioned Hadoop-based data ecosystems to AWS, using S3 for durable storage, EMR for Map Reduce and Spark processing, and Glue for data cataloging and ETL jobs.
● Deep expertise in big data architectures with a focus on AWS services like EMR, which provides a managed Hadoop framework, and leveraging YARN on EMR for resource management.
● Skilled in data migration using AWS DMS and SCT to efficiently move databases to AWS, replacing the traditional use of Scoop.
● Developed Lambda functions for automated data transfer and processing, serving as a more scalable alternative to Hadoop Map Reduce jobs.
● Proficient in data warehousing using AWS Redshift, ensuring optimized query performance and efficient data management.
● Expert in setting up AWS infrastructure for big data applications, ensuring high availability and disaster recovery using AWS services.
● Established secure and multi-tenant data environments on AWS, implementing IAM roles and policies for fine-grained access control.
● Utilized AWS Kinesis for real-time data streaming into AWS ecosystem, replacing traditional messaging systems.
● Familiar with AWS Step Functions and SWF to manage distributed applications, replacing the need for Hadoop Ozzie workflows.
● Monitored AWS environments using CloudWatch, ensuring high performance and reliability of big data applications.
● Executed real-time data analytics by harnessing the power of AWS Kinesis Analytics, providing insights from streaming data.
● Integrated AWS services with Databricks for enhanced data science and analytics capabilities.
● Embraced Agile and Scrum methodologies in cloud-based big data projects, ensuring continuous integration and delivery using AWS DevOps tools.
● Implemented data governance and classification on AWS, ensuring compliance with data privacy and protection standards.
● Adopted AWS Athena for serverless querying, enabling quick analysis of data stored in S3 without the need for complex ETL workflows.
● Integrated AWS CloudFormation and Terraform for infrastructure as code (IaC) practices, ensuring reproducible and maintainable cloud environments.
● Expertise in data orchestration using AWS Data Pipeline for regular data movement and processing tasks, enhancing operational efficiency.
● Implemented AWS security best practices, utilizing IAM for granular access control, KMS for encryption management, and VPC for network isolation.