Data Engineering

Data Engineering Foundations

IBMCompleted 2024-05-13Approximately 3 months at 10 hours a week

Big DataData ArchitectureData PipelinesETLDatabase DesignPostgreSQLIBM Db2Data StorageSQLPython

What I Learned

Describe the data engineering ecosystem, key roles, and the tools used by data engineers

Design and build ETL pipelines to extract, transform, and load data from multiple sources

Work with relational databases using SQL, PostgreSQL, and IBM Db2 for data storage and querying

Use Python to automate data engineering tasks and build end-to-end data workflows

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Data Engineering Foundations

IBM

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Educational Standards & Credential Integrity

This professional certificate confirms that Ankur Halder has successfully completed coursework, assessments, and technical implementations certified by IBM. Micro-credentials and formal certificates serve as verifiable evidence of mastery in modern software engineering principles, algorithms, cloud deployments, and software architecture.

Every course within this curriculum involves hands-on project building, peer code reviews, and structured knowledge evaluations designed to meet global industry requirements. The competencies gained directly enhance engineering capabilities across web development, system architecture, database optimization, and cloud operations.

To verify authentic certification status, official transcripts, and issuing authority records, use the verification link or download the signed PDF credential above. All certificates presented on this portfolio are verified through cryptographic or official issuer portals.