Data Engineer - Associate DEA-C01

As an AWS Certified Data Engineer - Associate, I have the validated ability to design, implement, and optimize data pipelines on the AWS platform. My expertise covers the entire data lifecycle, from ingestion and transformation to storage and analysis, ensuring that data solutions are high-performing, cost-effective, and secure in accordance with AWS best practices. I am skilled in orchestrating complex workflows, managing data stores, and maintaining the operational health of data systems.

My practical skills include ingesting data from a wide range of streaming and batch sources, such as Amazon Kinesis, Amazon MSK, and Amazon S3. I am proficient in transforming and processing this data using services like AWS Glue, Amazon EMR, and AWS Lambda, and I can orchestrate these processes into robust, event-driven pipelines with AWS Step Functions and Amazon MWAA. I apply core programming concepts and Infrastructure as Code (IaC) with tools like the AWS CDK and CloudFormation to build repeatable and scalable data engineering solutions.

I am adept at managing the full data lifecycle by selecting optimal data stores like Amazon Redshift, Amazon DynamoDB, and Amazon S3 to meet specific performance and access pattern requirements. My capabilities include designing effective data models and schemas, creating and managing data catalogs with AWS Glue Data Catalog, and implementing data lifecycle policies to manage storage costs and data retention. I also ensure data quality through validation, profiling, and cleansing techniques using tools like AWS Glue DataBrew.

A core part of my role involves ensuring robust security and governance. I implement strong authentication and authorization mechanisms using IAM and AWS Lake Formation, adhering to the principle of least privilege. I am skilled in applying data encryption both in transit and at rest with AWS KMS, protecting sensitive data through masking and anonymization, and preparing comprehensive logs with CloudTrail and CloudWatch for auditing and monitoring purposes. This holistic approach ensures that data is not only accessible and valuable but also secure and compliant.