data engineering , data quality assurance , Database Management, Distributed computing frameworks, Validation techniques, ETL processes, Cloud platforms, Data pipelines, Data storage solutions

graph databases , object storage , Java, Scala, AWS Glue, Nodejs, Data Modeling, Sql, Python, column-family databases, key-value stores, IAM roles and permissions, non-relational databases, ETL pipelines

Pyspark, Soap, Data Modeling, Sql, REST, Databricks, Gitlab, Python, Airflow, Reltio MDM platform, match merge rules, crosswalks, microservices architecture, API integrations

domain driven design , Spark SQL, Streaming, Java, Data Management, Apis, Big Data, Data Modeling, Kafka, Data Governance, AWS, Event streaming processes, Data Catalog, Distributed cloud technology, Spark Architecture, Automation capabilities, AI-assisted development

snowflake , Automation Frameworks, Data Modeling, Apis, Pyspark, Apache Spark, Sql, ELT, Devops, Databricks, Python, Etl, Performance Optimization, Cloud-based Data Engineering Architectures, Workflow Orchestration, Distributed Data Processing

Pyspark, Sql, Azure Synapse Analytics, Spark, Data Warehousing Concepts, Python, data modeling techniques, Azure SQL Database, Azure Data Factory ADF, large-scale data processing, Azure Data Lake ADLS Gen2, ETL ELT development, Azure Data Services