Naveen Naidu Lankipalli

Experience

• 

  Accenture

  Aug 2021 - Dec 2022

  Spearheaded customer requirement implementation, boosting system efficiency, and streamlined data loading into Snowflake tables with hands-on techniques, achieving a 65% reduction in loading time.Configured tables and jobs in SSIS to align with project requirements; showcased expertise in Snowflake structures, contributing to a 25% improvement in data analysis precision.Leveraged advanced Snowflake features and instigated unit tests to minimize deployment inaccuracies and elevating overall software development lifecycle efficiency.Key Achievements:Achieved a 65% reduction in loading time, optimizing system performance and enhancing productivity.Improved data analysis precision by 25%, ensuring data accuracy and reliability for decision-making.Implemented unit tests, minimizing deployment inaccuracies, and enhancing software quality.Demonstrated expertise in Snowflake structures, contributing to streamlined data processing and analysis. Show less Worked closely with business teams to understand their needs and deliver tailored database solutions that streamlined workflows and improved efficiency.Designed and deployed ETL processes using SSIS to transform and load data from sources like Oracle and MS Access into SQL Server with high accuracy.Created visually engaging Power BI dashboards with interactive features, helping teams uncover insights and make faster decisions.Built and optimized OLAP solutions, including Star and Snowflake schemas, to deliver scalable and insightful analytics.Developed efficient ETL pipelines with automated error handling and notifications, significantly reducing data processing time.Improved SQL Server performance by fine-tuning stored procedures, creating indexes, and optimizing queries for faster execution. Show less

  • Data Engineer Associate

    Jun 2022 - Dec 2022

  • SQL Developer

    Aug 2021 - Jun 2022
• 

  Essure Technologies Limited

  Jan 2023 - now

  Data Engineer

  Data Migration project from On-premises to Cloud.Engineered data extraction from diverse sources via ADF Pipelines, optimizing data onboarded into ADLS Gen2 in parquet format, achieving a shortened extraction duration.Orchestrated data transformations using Azure Databricks, enhancing efficiency, and meeting stringent project requirements.Employed PySpark for ETL, ensuring 98% data integrity, led Power BI reporting for real-time insights, enforced code standards, reduced errors, and responded to new requirements for flexibility.Key Achievements:Reduced data extraction time by 43% through optimization techniques.Enhanced efficiency in data transformations resulting in 28% improvement in project delivery timelines.Ensured 98% data integrity, mitigating errors and enhancing data reliability.Led Power BI reporting for real-time insights, empowering stakeholders with actionable information.Responded effectively to evolving project requirements, demonstrating adaptability and resilience in a dynamic environment. Show less