Enukurthi Venu

With over 11 years of experience in the IT industry, I am a Senior Data Engineer and Team Lead specializing in Business Intelligence (BI) solutions for sectors like banking, FMCG, insurance, and pharmaceuticals, primarily using Tableau. I have extensive experience in developing interactive dashboards, reports, and visualizations, integrating Tableau with cloud databases like Snowflake, AWS, and Hive to deliver scalable, high-performance solutions.

Proficient in Data Warehousing, SQL, and cloud technologies, I collaborate with clients to clarify requirements and resolve issues. As a team lead, I mentor and guide team members while managing both Waterfall and Agile project methodologies. With strong communication, organizational, and leadership skills, I focus on delivering impactful, data-driven solutions that meet business needs.

• Coordinating with the Onshore Team: Understanding and gathering requirements from the onshore team.
• Analyzing Data and Existing Dashboards: Reviewing existing dashboards and data to identify areas for improvement, focusing on performance enhancements.
• Developing Visualizations: Creating different types of visualizations (e.g., Text Charts, Bar Charts) in Tableau to help clients understand how their business is performing within different regions.
• Developing Dashboards for Decision-Making: Designing dashboards to aid end users in making stock-related decisions.
• Using Parameters: Developing worksheets and dashboards that leverage parameters for dynamic data interaction.
• Implementing Sheet Swapping: Using sheet swapping techniques to enhance user experience and dashboard interactivity.

• Leading Discovery Workshops: Conducting workshops to understand the "As-Is" process and translating the gathered requirements into data flow diagrams/templates for alignment.
• Partnering with Clients and Vendor Partners: Collaborating with the client and other vendor partners (under client’s guidance) to deliver prioritized use cases that generate actionable business insights.
• Capturing Requirements: Ensuring that requirements are well-documented, solutions provide value, align with the scope, are scalable, and are delivered within the agreed timelines.
• Creating Proof of Concepts (POCs): Based on the requirements, developing POCs and creating the data model in Tableau to populate and visualize data effectively.
• Utilizing Tableau Functions: Using parameters, aggregate functions, calculated fields, filters, and joins to create focused and effective visualizations.
• Optimizing Visualization Performance: Enhancing the performance of visualizations by using Tableau's Data Engine, extracts, and selecting appropriate connection methods.
• Creating Visualizations: Designing various visualizations such as text tables, stacked bar charts, area charts, and line charts.
• Publishing Dashboards: Publishing dashboards to the Tableau server, configuring authentication, and setting up scheduling for automated report distribution.
• Defining Security Standards: Establishing group-level and user-level security standards for Tableau to control access.
• Writing SQL Queries: Writing SQL queries to validate data using join conditions for accurate reporting.
• Delivering Reports on Time: Ensuring timely delivery of reports to the business team as per project requirements.

• Reviewing Business Requirements: Analyzing business requirements to guide the design, development, testing, and production rollout of Tableau reporting solutions using Tableau Desktop and Server.
• Developing and Managing Dashboards: Creating and managing daily, weekly, and monthly Tableau dashboards with advanced functionalities such as drill-downs, parameters, sets, action filters, dual-axis charts, and table calculations. These dashboards provide real-time snapshots with enhanced granularity of key operational business metrics.
• Developing Performance Dashboards: Building performance dashboards with complex requirements, including conditional formatting, real-time maps, and calculations like MTD (Month-to-Date), QTD (Quarter-to-Date), and YTD (Year-to-Date), enabling global users to visualize and analyze their key metrics/KPIs.
• Using Action Filters: Implementing action filters in summary-detail dashboards to facilitate smooth navigation between different dashboards.
• Advanced Analysis Techniques: Using advanced analysis features such as actions, calculations, filters, parameters, background images, maps, and table calculations for in-depth data insights.
• Dashboard Design Expertise: Demonstrating strong dashboard design skills, with a focus on effective data visualization and adherence to best practices in visualization and design.
• Utilizing Tableau Server: Publishing and sharing dashboards on Tableau Server to ensure business users have access to the reports and insights.

• Coordinating with the Onshore Team: Working closely with the onshore team to understand the requirements and ensure alignment.
• Analyzing Data and Existing Dashboards: Reviewing the data and existing dashboards to identify areas for improvement and enhancing the existing code for better performance.
• Developing Visualizations: Creating various types of visualizations in Tableau to help clients understand how their business is performing in the insurance market.
• Creating Specific Visualizations: Developing Tableau visualizations using Donut charts, Geographic Maps, Pie Charts, and Bar Charts to represent the data effectively.
• Developing Decision-Making Dashboards: Building dashboards that enable end users to make decisions by comparing their data with other insurance clients.
• Using Parameters, Groups, and Sets: Developing worksheets utilizing parameters, groups, and sets to enhance data interaction and segmentation in the visualizations.