I am a data engineer with over 8 years of experience in managing, processing and analyzing large data sets. I design and implement scalable data solutions, optimize data pipelines, and work with modern storage and processing technologies such as MS Fabric, Databricks, Snowflake, Pandas, NumPy, Spark, and SQL/NoSQL. I have built ETL/ELT pipelines for ingestion of structured, semi-structured, and unstructured data from diverse sources (JSON, CSV, XML, Parquet), and I collaborate with Data Science teams to prepare data and expose it for analytics and model training using platforms like Databricks and MLflow. I also drive data quality through monitoring, migrations between platforms, and production-grade pipelines to deliver reliable insights to clients across industries.
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