Bhagya Laxmi
About Bhagya Laxmi
Bhagya Laxmi is a Senior Data Engineer with extensive experience in data quality, ETL development, and big data technologies. Currently employed at Thomson Reuters, she has previously worked at various companies, including Charter Communications and Albertsons Companies, and has a strong background in cloud services and data transformation.
Work at Thomson Reuters
Currently, Bhagya Laxmi serves as a Senior Data Engineer at Thomson Reuters, a position held since 2020. In this role, she focuses on data engineering tasks, utilizing her expertise in various technologies. She has implemented Kafka for live streaming data processing and has experience loading data into HDFS and NoSQL databases. Her work contributes to maintaining high data quality standards and effective data management within the organization.
Previous Experience in Data Engineering
Before joining Thomson Reuters, Bhagya Laxmi worked at several companies in data engineering roles. She was a Senior Data Engineer at Charter Communications from 2018 to 2020, and prior to that, she served as a Hadoop Developer at Albertsons Companies from 2015 to 2018. Her earlier experience includes working as a Hadoop Developer at Dhruvsoft Services Private Limited and as an ETL Developer at Yanasoftware. This diverse background has equipped her with a wide range of skills in data processing and management.
Technical Skills and Tools
Bhagya Laxmi has developed a strong technical skill set in data engineering. She has created Data Quality Scripts using SQL and Hive, and developed Python code for workflow management and automation using Airflow. Her expertise extends to implementing Azure Big Data solutions and utilizing AWS tools such as EC2, EMR, Redshift, Athena, Glue, and S3. Additionally, she has designed and performed data imputation techniques and implemented a generic ETL framework for data integration.
Education and Expertise
Bhagya Laxmi holds a Bachelor's degree in Computers from Sarojini Naidu College For Women, where she studied from 2009 to 2012. Her educational background provides a solid foundation for her career in data engineering. She has developed expertise in various programming languages and tools, including Python, SQL, and Hadoop, which she has applied throughout her professional experience.
Contributions to Data Quality and Integration
Throughout her career, Bhagya Laxmi has focused on ensuring high data quality and effective data integration. She has executed numerous data transformation implementations and developed custom User Defined Functions (UDFs) for Pig and Hive. Her participation in the SaaS vendor RFI/RFP process demonstrates her ability to map product features to business functions, contributing to informed vendor selection and effective project outcomes.