I am an experienced AWS Data Engineer specializing in designing, building, and optimizing scalable, secure, and high-performance data solutions on AWS. I help businesses turn raw data into actionable insights through robust data engineering and cloud analytics architectures.
What I Can Do for You
Design and implement end-to-end data pipelines (ETL / ELT)
Build AWS Data Lakes using S3, Glue, Athena, and Lake Formation
Develop and optimize AWS Glue jobs (PySpark / Spark SQL)
Implement real-time & batch data processing
Data warehousing with Amazon Redshift
Serverless data workflows using AWS Lambda & Step Functions
SQL performance tuning and complex query optimization
Data modeling (star / snowflake schemas)
Monitoring, logging, and cost optimization
Secure data solutions using IAM & best practices
AWS Technologies I Work With
Amazon S3, Glue, Athena, Redshift
AWS Lambda, Step Functions
EMR, Spark, PySpark
IAM, CloudWatch
Kinesis (optional for streaming use cases)
Why Work With Me?
Strong understanding of business + data
Clean, scalable, and well-documented solutions
Reliable communication & on-time delivery
Focus on performance, security, and cost efficiency
Experience handling large-scale datasets
Ideal Projects
Cloud data migration to AWS
Building analytics platforms from scratch
Optimizing slow ETL pipelines
Data lake / data warehouse setup
AWS consulting & architecture review