AWS: CDK, SAM, S3, Kinesis, Lambda, Athena, Glue, DMS, Lakeformation, API gateway, CloudWatch, IAM, VPC, Code Pipeline.

Languages: Python, SQL, R programming, JavaScript, YAML

DevOps: Jira, GitHub, AWS Code Pipeline, AWS Code Build

Databases: Redshift, DynamoDB, RDS, MySQL, Aurora

Analytics: AWS Quick sight, Tableau, PowerBI

• Analyzed CloudWatch logs data from active users and used outputs to guide marketing and product strategies.
• Launched analytical reporting infrastructure in AWS for SaaS application; grew revenue by 17% in first nine months. Developed ETL pipelines, Feature engineering, and wrote SQL queries to aggregate complex datasets for clients.
• Design developed and deployed batch streaming data pipelines using AWS Glue, Kinesis Firehose, Kinesis DataStream.
• Identified steps to monitor and optimize operational stability of data pipelines.
• Performed database indexing to optimize query runtime by 60%.
• Work alongside the Engineering Team, subject matter experts, and department leaders to comprehend, evaluate, develop, and deliver novel processes and.
• Orchestrated event-based data pipeline and migrated MySQL database tables into AWS S3 data lake.
• Developed Python microservices for backend.
• Worked with version control systems (e.g., Git) and code deployment strategies.
• Designed and maintained AWS S3 data lake solution to serve analytics operation.
• Develop and uphold documentation outlining the technical details of design, operational support, and maintenance procedures for data pipelines.

Bachelor of Science, Major in Data Analytics