Rachana Kasula

About Rachana Kasula

Senior Data Engineer | 10+ Years of Expertise Passionate and results-driven Senior Data Engineer with over a decade of hands-on experience in designing and implementing robust data solutions. Proficient in Python, Spark, and the entire Hadoop ecosystem, with a focus on delivering end-to-end solutions for data extraction, transformation, and loading. Key Strengths: Expertise in developing Spark applications using Spark SQL, PySpark, and Delta Lake in Databricks. Proven competency in designing and implementing data pipelines in Azure Data Factory, ensuring efficient data flow and integration. Extensive experience with cloud services including AWS and Azure, provisioning clusters, and migrating databases to Snowflake and BigQuery. Skilled in T-SQL and SQL Server management, optimizing query performance and implementing dimensional modeling. Technical Proficiency: Languages: Python, Scala, SQL, Shell Scripting, Hive QL. Big Data Technologies: Hadoop, Spark, PySpark, Airflow, Kafka, Snowflake. Cloud Platforms: AWS, Azure. BI Tools: Tableau, Talend, AWS GLUE, Pentaho, Informatica Power. ‍ Professional Experience: Current Role (Barclays): Leading as a Senior Data Engineer, specializing in ETL frameworks, Spark applications, and cloud data migration. Utilizing Python, Spark, AWS, and Snowflake for seamless data processing. Previous Roles (Humana, Macy’s, Elevance Health): Successfully contributed to data engineering projects, optimizing Spark jobs, developing ETL pipelines, and leveraging cloud platforms for efficient data management. Technical Skills Overview: Big Data: Hadoop, Hive, Spark, Sqoop, Kafka, Cloudera Manager, PySpark, Airflow. Languages: Scala, Python, SQL, Hive QL. BI Tools: SSIS, SSRS, SSAS, Tableau, Power BI. Cloud Platforms: AWS, Azure. Databases: Oracle, SQL Server, MySQL, NoSQL (HBase, Cassandra, MongoDB). Achievements: Successfully migrated databases to Snowflake and BigQuery, improving data accessibility and query performance. Implemented efficient data pipelines in Azure Data Factory, resulting in streamlined data integration. Let\'s Connect! Open to networking, collaboration, and exploring opportunities in the exciting realm of data engineering. Let\'s connect and discuss how I can contribute to your data-driven success!

Experience

1. Senior Data Engineer

   Barclays

   Oct 2021 — Present · US

Education

• Dayananda Sagar College of Engineering, BANGALORE

  Bachelor's degree, Computer and Information Sciences

  2010 — 2013

• Campbellsville University

  Master's degree, Computer Science

  2014 — 2015