Ravikumar Lolam

Spearheaded the development of a generative AI solution on Microsoft Fabric using OpenAI API, Azure AI Search, PySpark, Data Lake Storage, Lakehouse, and Data Pipelines, boosting productivity across data engineering, marketing, and analytics teams by 40%. Designed Power BI dashboards for 5 large-scale projects, delivering actionable insights and improved decision-making. Automated reporting for monthly CSV fraud alerts using Logic App Workflows, Log Analytics, Kusto Query Language, and Power BI, providing high-level summaries of outcomes. Reduced marketing campaign launch time by 45% by addressing inefficiencies in data flows and operational processes through data-driven insights. Resolved complex API integration and stored procedure issues within a week, achieving a 30% increase in customer satisfaction. Simplified the Microsoft Advertising Platform learning experience, benefiting over 250 million global users and partners. Migrated two on-premises systems to Azure IaaS, enhancing scalability, reducing costs, and improving security. Built a unified data mart for Finance & Data Experiences Enterprise Perf Management using Azure Data Lake, Databricks, Synapse, SQL Server, SSIS, and SSAS, improving MCAPS cost planning and forecasting accuracy. Managed 500+ pipelines in a Marketing Data Platform (Data Lake) processing over 2 petabytes of daily data, optimizing SLAs and reducing daily monitoring time by 70% with unified dashboards in Azure Data Factory, Log Analytics, Kusto, and Power BI. Strengthened data security through regular assessments, mitigating vulnerabilities with Microsoft Entra, RBAC, ACL, TDE, and SSL/TLS, ensuring compliance and protecting sensitive data. Developed dashboards and alerts with Azure Monitor, Log Analytics, Kusto, and Power BI, enhancing operational visibility for production performance and cost savings. Provided on-call support, resolving production incidents to maintain system reliability, minimize downtime, and ensure business continuity.

• Transformed financial processes by collaborating with 4 cross-functional teams to automate 1 budget cycle, 3 quarterly forecasts, and 12 monthly restatements using SQL Server, SSIS, WCF Service, Excel Add-In, Active Directory, and Application Insights. • Achieved 95% process automation in enterprise Master Data Management, leveraging Active Directory, Microsoft Entra, RBAC, SQL Server, Windows Service, REST API, Web App, Azure Data Factory, Data Lake, Azure Recovery Services, Application Insights, and Power BI, delivering significant time savings and enhanced accuracy. • Strengthened data security and governance by consolidating 5 disparate systems into a unified framework for a Fortune 100 client, reducing operational costs and mitigating compliance risks. • Reduced data operations time by 65% by developing custom log management solutions using a C# Library, Application Insights, and Power BI. • Enabled data-driven decision-making by collaborating with product managers, analysts, data scientists, and technical teams to deliver scalable self-service BI solutions.

• Designed and implemented a scalable data pipeline infrastructure to efficiently process and transform 2TB of data across 5 datasets using SQL Server, SSIS, SSRS, a custom C# file transfer library, Windows File Sharing, and Active Directory. • Led a team of 8 data engineers to design and develop a complex data mart, enhancing data accessibility and enabling actionable insights for business stakeholders. • Drove data quality initiatives by implementing rigorous validation and cleansing processes, ensuring accuracy and integrity across critical datasets. • Optimized data workflows by distributing workloads across factories and reporting servers, reducing data processing time by 25%. • Implemented a comprehensive data governance framework, including data lineage, metadata management, and security protocols, safeguarding sensitive data and ensuring regulatory compliance. • Mentored a team of 8 junior data engineers, fostering a culture of innovation, collaboration, and continuous learning.

• Automated data pipelines to collect, clean, and transform 97 large datasets into 10 DataMart tables using SQL Server and SSIS, reducing manual effort by 30%. • Optimized SQL queries and ETL processes, enhancing data processing efficiency by 25%. • Collaborated with data analysts and business stakeholders to deliver actionable insights, contributing to a 15% increase in sales revenue. • Developed interactive dashboards and reports using SSRS, enabling data-driven decision-making and accelerating time-to-market. • Implemented robust data quality checks and monitoring, ensuring accuracy, consistency, and improved reliability across datasets.

• Optimized website performance and conversions by leveraging Google Analytics to analyze user behavior and measure marketing campaign effectiveness, resulting in a measurable increase in website conversions. • Expanded reach and engagement for PSA campaigns by utilizing data analytics to tailor messaging based on audience demographics and behavior, driving impactful behavioral changes. • Architected a secure and scalable storage solution for a digital greeting platform using Amazon S3 and Web services, enhancing durability, global accessibility, and optimizing costs through tiered storage classes. • Enhanced website security and checkout processes by integrating third-party payment gateways, including PayPal and Open Echo, reducing chargeback risks, lowering payment processing fees, and boosting revenue and customer satisfaction. • Modernized website infrastructure by migrating from legacy ASP to ASP.NET, improving security, performance, maintainability, and user experience.

Driving Efficiency and Innovation: Developed and implemented automation solutions using C#, ASP.Net, SQL to streamline finance and recruiting processes. This resulted in a 30% reduction in manual effort and 50% increase in processing speed.

Driving Innovation and Collaboration: Developed and deployed interactive web applications using JavaScript, .NET, and SQL, enhancing user experience and improving operational efficiency. Mentored and supported junior team members, fostering a culture of knowledge sharing and technical growth. This led to increased team productivity and improved overall project outcomes.