Vaishnavi Lahande

Managed Vodafone client report analytics project to enhance data understanding.

I applied advanced analytics on structured and unstructured data, employing SQL.

• Designed ETL scripts to optimize data migration and transformation from diverse sources into a central repository.
• Optimized code through the integration of AI foundations for enhanced efficiency.
• Designed interactive dashboards to effectively visualize and report data analysis outcomes, improving stakeholder insights.
• Refined Databricks notebook code through strategic refactoring with DLT tables, enhancing performance and maintainability.
• Created and designed interactive dashboards to proficiently illustrate and report outcomes of data analyses.
• Interacted with stakeholders across the organization to clarify data expectations.
• Engaged with cross-functional teams to clarify end-user requirements.
• Organized data processes and methodologies to improve team training resources.

Implemented advanced analytics solutions using Python, enabling data-driven decision-making across the organization. Refined SQL query structures to reduce execution time and increase efficiency. Developed automated testing tools in Python to ensure accurate results. Applied stringent security techniques within SQL environments to prevent unauthorized access.

Oversaw healthcare project in the USA, focusing on project goals and stakeholder engagement.

• .Developed data pipelines using ETL processes to ensure accurate data integration. Created Databricks notebook using DLT tables.
• Participated in code reviews, contributing to best practices in software development lifecycle.
• Documented technical specifications and process flows for future reference and training purposes.
• Collaborated closely with cross-functional teams to gather requirements and translate them into actionable insights using advanced analytics methodologies.
• Implemented data storage solutions utilizing Azure SQL Database and Blob Storage.
• Provided 2nd and 3rd level technical support and troubleshooting to internal and external clients.

Healthcare project based in the USA.

Collaborated with client 'Empirica' to understand project requirements.

Responsibilities -

• Established data flows and automated integration across data sources to enhance data handling efficiency.
• Examined and established components like pipelines, activities, mapping of data flows, datasets, linked services, triggers, and control flows to strengthen data processing capabilities.
• Generated datasets in ADF as per specifications to recognize data types such as relational tables, folders, files, etc. within interconnected data servers.
• Sustained comprehensive data documentation and definitions to guarantee clarity and consistency.
• Comprehensive knowledge of DevOps functions (code merging, deployments, release management).