Passionate about transforming raw data into valuable insights, I am a Data Engineer with 3 years of experience specializing in Azure-based big data solutions. I have a strong background in ETL/ELT pipelines and cloud-bas…
Passionate about transforming raw data into valuable insights, I am a Data Engineer with 3 years of experience specializing in Azure-based big data solutions. I have a strong background in ETL/ELT pipelines and cloud-based analytics.
I have successfully designed and optimized data pipelines for large-scale datasets, leveraging Azure Data Factory, Databricks, Synapse Analytics, Hive, Sqoop and Apache Spark. My expertise in SQL, Python, and PySpark enables me to build scalable, high-performance data solutions that drive business growth.
Developed and maintained scalable ETL pipelines, improving data processing efficiency by 30%.
Led collaboration efforts with data analysts to design optimized data models, enhancing reporting capabilities and reducing query times by 25%.
Implemented data validation and cleansing procedures, increasing data accuracy by 20%.
Managed Azure Synapse Analytics for data warehousing, reducing storage costs by 15%.
• Developed and maintained scalable ETL pipelines, improving data processing efficiency by 30%.
• Led collaboration efforts with data analysts to design optimized data models, enhancing reporting capabilities and reducing query times by 25%.
• Implemented data validation and cleansing procedures, increasing data accuracy by 20%.
• Managed Azure Synapse Analytics for data warehousing, reducing storage costs by 15%.
• Developed scalable big data processing pipelines using Hadoop, Spark, and other distributed computing technologies to process 10+ Petabytes/month.
• Designed and implemented scalable data solutions, ensuring efficient data ingestion, transformation, and storage.
• Imported large data from RDBMS to HDFS and handled incremental load using Sqoop. Analyzed data sets by writing Hive queries.
Developed scalable big data processing pipelines using Hadoop, Spark, and other distributed computing technologies to process 10+ Petabytes/month.
Designed and implemented scalable data solutions, ensuring efficient data ingestion, transformation, and storage.
Imported large data from RDBMS to HDFS and handled incremental load using Sqoop.
Analyzed data sets by writing Hive queries.
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