Data Acquisition: Extracting data from diverse sources – databases, APIs, social media, and more.
Data Cleaning & Transformation: Identifying and correcting errors, inconsistencies, and missing values in the data.
Data Warehousing & Data Lakes: Building and managing data storage solutions for efficient access and analysis.
Data Pipelines: Creating automated workflows to move data seamlessly between various systems.
Data Security & Governance: Ensuring data security and implementing policies for data access and usage.