Spandana Barla
About Spandana Barla
Spandana Barla is a Data Engineer with experience in data profiling, Snowflake, and Kafka streaming. She has worked at various companies including SpringML, Carbynetech, and Credit One Bank, demonstrating proficiency in ETL processes and data integration.
Work at Credit One Bank
Currently, Spandana Barla serves as a Data Engineer at Credit One Bank, a position she has held since 2022. In this role, she has executed ETL pipelines using Amazon EMR with PySpark, facilitating the integration of data from Amazon S3 to Redshift. Her responsibilities include improving data handling and processing speeds through performance tuning in AWS Redshift and Spark. Additionally, she has achieved significant cost reductions by implementing strategic migrations and utilizing serverless AWS solutions.
Previous Experience at SpringML, Inc.
Spandana Barla worked as a Data Engineer at SpringML, Inc. from 2017 to 2019 in Hyderabad, Telangana, India. During her tenure, she demonstrated proficiency in data profiling, Snowflake, and Kafka streaming. Her role involved utilizing various data engineering tools and methodologies to enhance data processes within the organization.
Experience at Carbynetech
Before her position at SpringML, Spandana Barla was employed as a Python Developer at Carbynetech from 2015 to 2017, also in Hyderabad, Telangana, India. In this role, she utilized a wide range of environments, including Kubernetes, Jenkins, Docker, and Git, to carry out data engineering tasks. Her experience in these technologies contributed to her development as a skilled data professional.
Education and Expertise
Spandana Barla holds a Master's degree in Data Science from DePaul University. She also studied Mechanical Engineering at JNTUH College of Engineering Hyderabad. Her educational background provides her with a strong foundation in both engineering principles and data science methodologies, which she applies in her professional roles.
Technical Skills and Achievements
Throughout her career, Spandana Barla has developed SQL-based warehousing solutions and Bash scripts to enhance data loading into HDFS. She has demonstrated expertise in executing ETL processes and optimizing data workflows, contributing to improved efficiency and performance in data handling. Her technical skills include proficiency in AWS services, data profiling, and various programming environments.