Design and implement effective data models and table structures across various storage systems, including relational databases, NoSQL stores, data warehouses, and data lakes.
Build, maintain, and optimize robust data pipelines (ETL/ELT) to ingest, transform, and load data from production systems and external sources.
Use workflow orchestration tools to schedule, automate, and monitor data pipelines, ensuring their reliability and performance.
Define and implement data quality standards and processes (e.g., bronze, silver, gold tiering), including handling missing values and ensuring data integrity, accuracy, and completeness.
Establish and enforce data governance policies and procedures, manage data lineage and metadata, implement access controls and encryption, and support compliance with data privacy regulations (e.g., GDPR, CCPA).
Implement and manage scalable data platforms (da...
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