RAVI TEJA BORRA

Salesforce CRM Integration with Azure Data Factory

• Configured Salesforce connections in Azure Data Factory, enabling seamless data extraction.
• Designed and executed ETL pipelines for extracting, transforming, and loading Salesforce opportunities data.
• Created and optimized an Azure SQL Database to efficiently store and organize transformed data.
• Implemented incremental loading strategies for timely updates and reduced data transfer overhead.
• Established robust error handling and logging mechanisms, ensuring data integrity and facilitating troubleshooting.
• Scheduled pipeline executions based on Salesforce update frequency for automated data refresh.
• Demonstrated expertise in ETL processes, Azure Data Factory, and Azure SQL Database management

Data Quality Management and Informatica Automation

• Ensuring data quality is measured by working closely with e stakeholders, business users, and developers to understand automation needs and gather requirements for data integration and transformation processes
• Developed and executed mapping strategies utilizing Informatica tool, optimizing data transformations and business rules to enhance data quality and accuracy, resulting in 30% increase in data integrity.
• Implemented data transformations using Informatica to maintain accuracy and consistency
• Fine-tuning data mappings and workflows to improve the overall process
• Created mapplet i.e., rules, and Informatica Analyst tool for preparing scorecards to check data quality KPIs
• Automated Data Quality Tasks by Integrating Informatica IDQ with Salesforce
• Documenting business processes and training team members on efficiently using and maintaining automated processes.

The proliferation of unwanted/duplicate Accounts in SFDC:

• As a data analyst, I ensured data quality by cleaning and standardizing data using Excel
• I integrated Excel with Tableau for comprehensive and faster data analysis
• Using Tableau, I created calculated fields to identify and visualize duplicate records, helping stakeholders address around 35,000 duplicates in Salesforce (SFDC) with Apex Data Loader
• Documented data cleansing process, showcasing impact of data quality enhancements to stakeholders
• Established exception Dashboard in Tableau to proactively monitor and address duplicate records, ensuring data integrity
• My efforts significantly improved data quality, enabling better decision-making and overall data integrity within organization.

Centralized Support Model :

• Participated in Knowledge Transfer (KT) sessions to gain cross-training on business processes across GEOs, enabling 24/7 support for stakeholders worldwide
• Collaborated with SMEs to develop data cleansing rules, improving data quality by standardizing, merging duplicates, and addressing inaccuracies
• Provided robust support to Finance, Partner, and Sales Operations teams, resolving data-related issues and ensuring access to reliable data
• Assisted Sales Operations in customer segmentation for fiscal year planning, offering data-driven insights for optimized sales strategies
• Trained new hires on systems design and process flows, facilitating seamless integration and increased productivity

Dashboard and reporting :

• Supported renewals team with critical insights from comprehensive SFDC report for successful customer retention
• Created interactive SFDC dashboards for stakeholders, enabling data-driven decisions with ease
• Designed Tableau exception dashboard for streamlined data monitoring and timely action
• Developed Power BI sales performance dashboard, guiding sales teams with key metrics
• Prepared custom SFDC reports for SMEs, empowering customer engagement strategies
• Optimized data visualization, enhancing data-driven decision-making across organization
• Utilized SAS to conduct advanced statistical analyses, uncovering trends and patterns that guided marketing strategies, resulting in 10% increase in customer engagement
• Leveraged SQL for joint operations, providing valuable insights for business decisions
• Through these initiatives, I significantly contributed to optimizing data visualization and reporting processes, empowering teams to access critical insights easily, and enhancing overall data-driven decision-making across the organization.

Process Improvements :

• Assembled and led a dynamic team of 5 members dedicated to providing unwavering support to Sales and Finance teams concerning customer data for the North American (NA) region
• Fostered seamless collaboration with the IT application support team to optimize order management processes, resulting in significant time savings of over 20 person-hours per week for the NA team
• This proactive approach aimed to minimize errors and ensure smooth order auto-booking operations
• Expertly utilized SQL queries within the Dbeaver tool to extract Salesforce data, enabling a comprehensive analysis to identify and bridge any data gaps
• As a dedicated Data Analyst, I was responsible for ensuring the Deal registration data in Salesforce (SFDC) was maintained accurately, updated promptly, and maintained consistent integrity across all records
• Through these initiatives, I effectively led cross-functional efforts, optimized processes
• I harnessed the power of SQL to provide actionable insights, ultimately contributing to data accuracy, efficiency, and data-driven decision-making throughout the organization.

Data Management and Quality Assurance:

• Employed rigorous data validation to ensure strict quality standards, eliminating irrelevant information from datasets
• Demonstrated excellent document management skills, organizing forms, filing records, and generating comprehensive reports for streamlined data access
• Spearheaded optimization of data quality through improved collection and automated upload strategies
• Diligently maintained impeccably accurate client correspondence and database records, fostering a culture of data integrity
• Proficiently managed data updates in Salesforce and Oracle R12, ensuring data consistency across systems
• Skillfully cleansed 2 lakh addresses, earning recognition for data editing proficiency within 3 months
• Successfully managed the review of D&B inbound records from Hoover's to our centralized database system in CDH, guaranteeing accurate and reliable data for further processing
• Expertly manipulated, cleansed, and processed data using a combination of Excel and SQL, enhancing data quality and preparing data for insightful analysis
• Led building and maintaining hierarchical customer information, ensuring a comprehensive and well-organized representation of customer relationships and interactions