AWS Data Architect

•Total 12+ years in IT with 6+ years in data architecture roles and at least 4+ years hands-on experience architecting solutions on AWS.

•Deep expertise in AWS data services: Redshift, Glue (Jobs, Crawlers, Workflows, Data Catalog), S3, Lambda, Athena, EMR, Kinesis, DynamoDB, RDS, Lake Formation, and Step Functions.

•Strong hands-on skills in Python and PySpark for data engineering, transformation, and automation at scale.

•Advanced SQL skills with proven experience designing and optimizing Redshift data warehouses (distribution/sort keys, WLM, Spectrum, materialized views).

•Solid understanding of data modeling techniques (3NF, dimensional/star-snowflake, Data Vault) for OLTP, OLAP, and lakehouse architectures.

•Experience designing batch, micro-batch, and real-time streaming pipelines using Kinesis, MSK (Kafka), or equivalent.

•Hands-on experience with IaC frameworks such as CloudFormation, Terraform, or AWS CDK, and CI/CD tools (CodePipeline, Jenkins, GitHub Actions).

•Strong understanding of data security, encryption, IAM policies, VPC networking, and compliance frameworks (GDPR, HIPAA, SOC 2).

•Experience integrating AWS data platforms with BI (QuickSight, Power BI, Tableau) and ML platforms (SageMaker).

•Proven ability to lead architecture discussions, produce HLD/LLD artifacts, and present solutions to CXO-level stakeholders.