
Farhana M
Engineering / Architecture
About Farhana M:
Azure Data Engineer with nearly 2 years of experience designing and optimizing scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks (PySpark), and ADLS Gen2. Proven track record of improving pipeline performance by 30–50%, reducing failures by 40%, and automating 60% of workflows. Experienced in handling large-scale structured and semi- structured data with strong expertise in SQL, Python, and cloud-based data architecture.
Experience
Azure Data Engineer with nearly 2 years of experience designing and optimizing scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks (PySpark), and ADLS Gen2. Proven track record of improving pipeline performance by 30– 50%, reducing failures by 40%, and automating 60% of workflows. Experienced in handling large-scale structured and semi-structured data with strong expertise in SQL, Python, and cloud-based data architecture.
Education
Bachelor's of Engineering in Computer Science and Engineering
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