data engineering , Database Management Systems, Troubleshooting and optimizing data workflows, ETL processes, Large-scale data processing frameworks and tools, Data quality assurance and validation techniques, Data storage solutions, Designing and implementing data pipelines

S3, Aws Services, Data Warehousing, Kafka, Emr, Redshift, ELT, Hive, RDBMS, MySQL, Iam, Spark, Ab Initio, Oracle, Etl, MSK, Lakehouse engineering, Confluent, infrastructure-as-code, Glue, containerized workloads

Etl, Sql, ELT, Apache Airflow, Python, dbt Core, Git-based workflows, Cloud Composer, automated tests, cloud data warehouse platforms

Neo4j, SQL and data transformation, Graph data modeling, Metadata and lineage concepts, Entity relationship modeling, Python data engineering, Cypher

data engineering , snowflake , Etl, AWS