S3, Github, Pyspark, Emr, Sql, Lambda, Cloudwatch, Terraform, Docker, Iam, Databricks, Python, AWS, Step Functions, CI CD, Glue

amazon dynamodb , Data Modeling, Amazon Redshift, Etl Development, AWS Glue, Data Warehousing, Sql, AWS Data Catalog Crawler, Data Pipelines, Data Due Diligence

Spark, Emr, Dynamodb, Lambda, Pyspark, Deduplication, Terraform, Scala, PostgreSQL, S3, AWS, Python, Advanced Sql, resilient pipeline patterns, AWS Sagemaker, Glue, Type 2 Dimensions, Medallion Architecture, Lakehouse, Idempotency, Incremental historical processing, late-arriving data handling, AWS data services, Step Functions, CDC Merge processing, Aurora

S3, Lambda, Emr, Python, Sql, AWS, ETL processes, Glue, Data pipelines

snowflake , S3, Cloudformation, Pyspark, SQL Server, Emr, Redshift, Sql, Apache Airflow, Git, Lambda, Postgres, Spark, Oracle, Python, AWS, Unified Studio, Step Functions, MWAA, Aurora, Sagemaker, Fargate, Glue

Spark, Data Modeling, Big Data Technologies, Java, Aws S3, Python, Scala, Hadoop, data warehousing solutions, ETL processes

Sql, Aws Redshift, cloud computing concepts, data modeling and schema design, AWS ecosystem, data warehousing concepts and best practices, ETL ELT processes