integration, and ETL processes. Exp with SQL, NoSQL data storage, Snowflake, Databricks, Apache Spark. Exp with schemas tailored to meet business objectives. Data storage solutions, including relational databases, data
business objectives. Assess and choose appropriate data storage solutions, including relational databases, data manipulation. Experience with both SQL and NoSQL data storage. Familiarity with data processing frameworks
experience in: Working in a cloud environment. Data storage and access technologies Testing methodologies
Implementing effective cybersecurity solutions and data storage technologies Linux hosts PHP API mechanisms:
tuning and optimization of data pipelines and data storage solutions to ensure optimal performance and data querying. Experience with cloud-based data storage solutions such as AWS S3 or Azure Blob Storage
up and managing Microsoft
of setting up and managing Microsoft Azure Data Lake Storage Gen2. Experience in using data visualization
conducting physical counts; reconciling with data storage system.
models for ETL processes, ensuring efficient data storage and retrieval.