Description

Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives. Skills - Data Architect AWS Data Architecture – Design scalable, secure, and high-performance data platforms on AWS. Data Modeling – Conceptual, Logical, Physical, Star & Snowflake schema design. Data Lakes – Amazon S3, Lake Formation, Data Lake architecture. Data Warehousing – Amazon Redshift and enterprise data warehouse design. Big Data Processing – Apache Spark, PySpark, Amazon EMR. ETL/ELT Development – AWS Glue, Lambda, Step Functions, Airflow. Streaming & Real-Time Analytics – Amazon Kinesis, Kafka, MSK. Data Governance & Security – IAM, KMS, Lake Formation, Encryption, Data Lineage. DevOps & Infrastructure as Code – Terraform, CloudFormation, CI/CD Pipelines. Solution Design & Stakeholder Management – Business requirement analysis and end-to-end architecture design

Key Skills

Education

Any Gradute