AWS Data Architect with strong experience in Designing and Implementing Lakehouse, Data Lake, Data Warehouse. Hands-on knowledge of creating Data ingestion and ETL pipeline using various AWS services. Expertise in building high-performing, scalable, enterprise-grade medallion data architecture. Required to have hands-on implementation experience.
Hands-on experience in creating medallion architecture in AWS Data Platform. Candidate must have working knowledge in building Lakehouse/Data Lake/DW using AWS services - S3, Glue, EMR, Redshift, Athena, Step Function, Snowflake, Lake Formation, DMS, Kinesis, Kafka, Lambda etc. Must have hands-on experience on creating data pipelines using PySpark, SparkSQL (EMR/Glue/Databricks). Must have fundamental knowledge on data modelling for DW – Star, Snowflake design. Good knowledge about CDC processing, SCD2, different kinds of Fact/Dimensions. Additional weightage on working experience in Snowflake DW, Databricks.
