Visaali KMK

Here’s a refined version for your resume:

• Designed and implemented a real-time and batch data processing solution for an e-commerce company to analyze customer behavior and sales trends.
• Developed scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to ingest and process transactional data from online stores and mobile apps.
• Integrated Azure Stream Analytics for real-time sales data processing, delivering insights into customer preferences, inventory levels, and purchasing patterns.
• Built Power BI dashboards to provide actionable insights, optimizing marketing strategies, enhancing product recommendations, and streamlining supply chain management.
• Developed tools and applications to monitor data quality and integrity across databases and applications.
• Implemented NoSQL databases for efficient storage and retrieval of large data volumes.
• Performed advanced analytics on structured and unstructured data using SQL and Python.
• Ensured data accuracy through rigorous testing and validation before deployment in production environments.
• Collaborated cross-functionally with teams to gather requirements and deliver data-driven solutions.
• Created visual reports including graphs and charts to illustrate data analysis results.
• Conducted software and system testing to ensure quality, reliability, and performance.
• Prioritized and organized tasks to efficiently meet project and service goals.
• Maintained industry knowledge through continuous learning and advanced training.

Here’s a polished and impactful version for your resume:

• Developed and deployed a data pipeline to extract data from on-premises sources and load it into Azure Data Factory (ADF), implementing the Medallion architecture to structure data into Bronze, Silver, and Gold layers for enhanced quality and usability.
• Utilized Databricks for data transformation, ensuring data was cleansed, standardized, and enriched before storage in Azure Synapse Analytics tables.
• Integrated Power BI with Synapse tables to enable real-time business insights, delivering intuitive and actionable data visualizations for stakeholders.
• Designed and developed ETL processes to ingest and load enterprise data into the Data Warehouse based on user requirements.
• Implemented data visualization tools such as Tableau and Power BI to create interactive dashboards and reports for business stakeholders.
• Built and maintained scalable data pipelines for ingestion, cleaning, and processing using Python and SQL.
• Conducted rigorous testing and validation of data pipelines to ensure data accuracy, completeness, and reliability.
• Automated data quality checks and error handling processes to enhance dataset integrity and reliability.
• Created stored procedures in SQL Server to automate periodic tasks and improve efficiency.
• Provided technical mentorship to junior data engineers, sharing best practices and guiding them in project execution.
• Monitored data system performance, identified bottlenecks, and implemented optimizations to maintain system efficiency.
• Demonstrated strong problem-solving skills, effectively troubleshooting and resolving data-related issues.
• Prioritized and organized tasks to ensure timely and efficient project execution.

Here's a refined and impactful version for your resume:

• Successfully managed a project spanning six accounts, ensuring smooth execution and timely delivery.
• Oversaw user profile management, including creation, modification, group administration, and shared mailbox management.
• Gained hands-on experience in Active Directory and Azure Active Directory, effectively handling user and access management tasks.
• Operated independently, demonstrating strong problem-solving skills and minimal dependency in the assigned role.
• Consistently met SLAs for ticket resolution, proactively avoiding escalations and implementing necessary changes.
• Led a migration project, successfully transferring file shares and folders to SharePoint while ensuring data integrity.
• Took ownership of high-dependency project phases, maintaining seamless operations and mitigating risks.
• Proficient in troubleshooting Outlook errors, profile issues, mail flow challenges, Mimecast, and EOP-related concerns.
• Utilized SharePoint and Power BI to generate reports and insights for stakeholders.
• Strong familiarity with Lotus Domino, including agents, servers, and Notes Client management.
• Acquired hands-on experience in Intune, expanding expertise in endpoint management solutions.
• Delivered the project on schedule, meeting customer expectations and business objectives.