Amazon Web Services (AWS)
Senior Solution Architect
August 2021 – August 2023 • London, UK
Leading data and machine learning solutions for AWS customers, from design to deployment, focusing on scalability and operational efficiency.
Overview
As a Senior Solution Architect at AWS, I worked directly with customers to implement strategic data and machine learning initiatives, focusing on cloud database, analytics, and machine learning solutions that are scalable and efficient.
Role Highlights
- Data Management Platforms: Built and maintained data management platforms using AWS services such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and Amazon S3.
- Machine Learning Solutions: Worked with Amazon Machine Learning services (including SageMaker) to build scalable machine learning models and analytics solutions.
- Data Lake to Data Mesh: Led enterprise customer migrations from monolithic data lakes to distributed data mesh architectures.
- Service Team Collaboration: Collaborated with AWS service teams (e.g., S3, Glue, Rekognition) to improve services, resolve issues, and implement customer-requested features.
- DataOps Leadership: Led the creation of the DataOps domain in AWS's Data Lab, coordinating an international team to develop thought leadership content and implement DataOps architectures.
Key Achievements
Publishing and Contributions
AWS Blog Post
Published a comprehensive guide on landing data from databases to a data lake at scale using AWS Glue Blueprints.
Read Blog Post →Open Source Code
Developed and published open-source implementation for landing RDBMS data to data lake at scale.
View on GitHub →AWS Glue Service Contributions
Helped develop and test AWS Glue's integration with Apache Hudi 0.12.0 and contributed to the Apache Hudi Connector for AWS Glue.
Technical Stack
Challenges & Solutions
Large-scale Data Management
Successfully managed data at scale across multiple AWS services while ensuring operational efficiency and cost-effectiveness.
Complex Client Requirements
Met diverse customer needs for scalable, high-performance data solutions through innovative architecture design and implementation.