Analytics Portfolio

Issued by: Coursera | Authorized by: IBM | Credential: Digital Badge

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Completed a foundational course on data engineering, covering the core concepts, ecosystem, and life cycle of data engineering. Gained practical knowledge of data integration platforms, data pipelines, and the ETL/ELT processes, along with troubleshooting techniques for performance issues in databases and pipelines.

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Key Skills & Tools:

• Data Engineering: Data pipelines, ETL/ELT processes, data lifecycle

• Databases: SQL, NoSQL, relational databases, data stores

• Big Data & Cloud: Apache Spark, Hadoop, IBM Cloud

• Data Governance & Security: Data governance, compliance, and security principles

• Data Handling: Data lakes, warehousing, and analytics-ready storage

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Outcome:
Developed the ability to design and manage efficient data pipelines, work with relational and NoSQL databases, and ensure data quality, security, and compliance in enterprise data engineering environments.