S3, RDS, Csv, Pyspark, Dynamodb, AWS Glue, Json, Sql, Ec2, Cloudwatch, Terraform, Amazon Redshift, AWS, Apache Iceberg, Parquet, Secrets Manager, Snappy compression, ASG, ALB

python, Sql, redshift aws

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

Terraform, Pyspark, AWS Glue, Python, Sql

Pyspark, Apache Spark, Kafka, Emr, Redshift, Sql, ELT, Lambda, Kinesis, Data Warehouse Architecture, Data Lake, Python, Aws S3, Etl, Airflow, CI CD, Lake Formation, pipeline development, Glue, AWS Security, Athena, Real-Time Data Processing, Cloud Optimization

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