I am a versatile data engineer with two years of experience specializing in Python, SQL, PySpark, and data warehousing solutions. I have a strong background in designing and building efficient data pipelines using tools like Airflow, DBT, and cloud technologies such as AWS and GCP. My expertise includes migrating data warehouses to Snowflake, which significantly improved query performance and reduced costs.
I am passionate about leveraging cloud platforms and modern orchestration tools to optimize data processing workflows. I have hands-on experience in maintaining ETL pipelines, implementing data quality checks, and building APIs to power machine learning models. Continuously learning and adapting, I seek to contribute effectively in fast-paced technical environments and thrive on solving complex data problems.
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