Vismitha Muchu

I am an accomplished Data Engineer with expertise in ETL solutions, data migration, and real-time analytics. I have a strong background in using technologies like Snowflake and Spark to optimize data pipelines. I've successfully implemented Spark and Kafka for efficient real-time data processing and built streamlined streaming architectures with Python-based Kafka producers and Spark streaming applications.

Additionally, I create user-friendly Tableau dashboards for data-driven decision-making, I recently completed a Master's in Big Data Analytics and am eager to apply my skills to drive transformative outcomes in new opportunities.

Around 5 years of strong experience in IT, with a strong emphasis on Data Engineering and Data Analytics using large datasets, played a major role in developing and maintaining various applications using the Big Data ecosystem.

• Strong expertise in end-end data engineering including data ingestion, data modeling, data processing, data integration, data cleansing, and data transformations.
• Experience in ETL concepts, building ETL/ELT solutions, and Data modeling.
• Strong experience in programming languages like Python, Scala, Spark-SQL.
• Strong experience working with Hadoop ecosystem components like HDFS, Map Reduce, Pyspark, Hive, Snowflake, Airflow.
• Good experience working with AWS Cloud services like S3, EMR, EC2, Redshift.

Completed Masters in Big Data Analytics & IT