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Freelancer Overview

I have over 5 years of experience as a data engineer, specializing in building and managing scalable data pipelines that process large volumes of structured and semi-structured data. My work has involved designing robust ETL/ELT workflows, optimizing data quality, and ensuring the reliability of data used in analytics and machine learning projects. I am highly skilled in tools such as Apache Spark, Databricks, PySpark, AWS, Azure, and workflow orchestration platforms like Apache Airflow and Azure Data Factory. I have hands-on experience with data integration from multiple sources, data transformation, and implementing quality controls to ensure accurate, clean datasets—critical for AI training and data labeling initiatives. My background includes collaborating with cross-functional teams to deliver reliable data solutions, supporting use cases in analytics, reporting, and downstream machine learning applications. I am passionate about enabling data-driven decision-making by delivering high-quality, well-annotated, and production-ready data assets.

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