Keerthi Mandapati

Capgemini

Hyderabad

10.2020 - Current

Extensively used ETL methodology to support data extraction, transformation, and loading process in a corporate-wide ETL solution.
Created complex SQL queries to extract and analyze data from various data sources.
Developed and maintained data pipelines using Azure Data Factory, ensuring efficient data extraction, transformation, and loading processes.
Collaborated with cross-functional teams to gather business requirements and translate them into technical specifications.
Code and Data migration into Azure Databricks from Talend and Hive SQL.
Implemented Azure Databricks for data ingestion, processing, and transformation, resulting in improved data quality and reduced processing time.
Performed optimization and performance tuning, saving approximately around $10k per month.
Involved in data archival activity and saved storage cost.
An effective communicator with excellent interpersonal, analytical, and logical abilities.
Worked closely with business to identify and resolve data quality issues.
Participated in client calls to gather requirements and was involved in preparing design, mapping, and unit test case documents.
Exceptional ability to learn new concepts and willing to walk the extra mile to achieve excellence.
Effective team player, active participation, and involvement in the team.