I’m a Data Engineer based in London with over 10 years of experience across IT, digital product development, and data engineering. I transitioned from roles as a Product Owner, Business Analyst, and Software Developer to focus on building scalable data pipelines and leveraging AWS cloud technologies to unlock the full potential of data.
My background allows me to bridge technical and business needs, creating efficient, scalable solutions that align with long-term business goals.
- Languages: Python, Java, JavaScript, SQL
- Cloud: AWS (EC2, Lambda, S3, RDS, CloudWatch, SQS, EventBridge)
- Data Engineering: ETL, Data Pipelines, Data Warehousing, AWS Data Lake, Parquet
- Databases: PostgreSQL, SQL
- DevOps: Docker, Terraform, CI/CD
- Data Analytics: AWS QuickSight, Data Modeling, Reporting
- ETL Pipelines: Developed scalable ETL solutions using Python and AWS services (Lambda, S3, EventBridge).
- Data Platform: Built a data lake and OLAP warehouse on AWS, optimized with Parquet format.
- Real-Time Data: Created analytics systems using AWS SQS and Lambda to process user behavior data.
- Automation: Automated workflows with AWS EventBridge and Lambda to improve efficiency.
- Infrastructure: Used Terraform and CI/CD to automate infrastructure and deployment.
As a Data Engineer, I specialize in building scalable data pipelines and using AWS cloud technologies to drive business success through actionable insights. I’m eager to apply my skills to help organizations unlock the full potential of their data.