Rajesh Vinukonda

About Rajesh Vinukonda

TOGAF certified with 19.5 yr of experience in designing and implementing innovative solutions for clients globally. My expertise lies in transforming technology to build data-driven enterprises, improving operational efficiency, and enhancing user experiences. I have successfully implemented a metadata-driven framework for “Factory of the Future”, which centralizes data through prebuilt pipelines for data ingestion and cleansing, facilitating insightful analytics.• Delivered cutting-edge solutions in Big Data Platforms, Data Analytics, Graph Databases, ETL, and BI/DW project engagements, optimizing data-driven decision-making processes.• Actively involved in pre-sales activities,POC/POV, especially advising clients on migration aligned with their business goals.• My role in strategic Technical Leadership has extended to serving as an Enterprise Architect advisor, providing crucial guidance across IT clusters to prioritize projects and devise detailed implementation strategies.• My thought leadership is demonstrated by publishing a whitepaper on \"Mainframe Patterns to Azure Migration,\" featured on Microsoft website.• My technical acumen encompasses designing and implementing Big Data pipelines and Enterprise Scale DataLake/Lake House Architecture on cloud.• Hands-on experience in architecting IoT applications and have developed a complete banking solution using Graph DB-Neo4j.• Responsible for Azure IoT product development, managing Azure Infrastructure, and leading significant migrations such as transitioning the Azure environment from CSP to EA, achieving significant cost savings. • Lead modernization efforts at Infosys, showcasing expertise in legacy application migration using tools for knowledge curation and rules extraction.• As a Solution Architect, I have steered the design and development of Azure-based solutions for transitioning ETL workloads and formulated technical roadmaps for Azure cloud implementations. My contributions were recognized at the Microsoft Inspire Awards-2019, where I was a finalist among over 2900 global submissions.• With continuous learning and innovation at the core of my professional ethos, I am currently exploring GenAI/LLM Models and Microsoft Fabric, investigating their potential applications across various client projects. • My collaborative approach extends to working closely with Infrastructure and Security teams to devise solutions that ensure high availability and disaster recovery, tailored to business needs.

Experience

1. Director-big Data Engineering-azure

   Tiger Analytics

   Feb 2025 — Present · Hyderabad, IN

   My expertise lies in translating complex business needs into tangible results through end-to-end Architecture Design and Deployment of Modern Data Platforms leveraging Technology advancements.Data Engineering Thought Leadership : Provide guidance and insights to stakeholders on data engineering strategies, methodologies, and innovations based on industry trends, emerging technologies, and best practices.Data Platform Architecture: Responsible for designing the end-to-end architecture of the data platform, including Infrastructure, Frameworks, Integration points etc. Evaluate various technology options and select appropriate technologies, tools, and frameworks to build scalable, reliable, and efficient data solutions that meet business needs. Feature Roadmap Definition: Collaborate with stakeholders to define the feature roadmap for the data platform, aligning it with business objectives and priorities. Identify and prioritize key features, enhancements, and capabilities based on user requirements, industry trends, and organizational goalsDelivery Guidance & Quality Assurance: Provide hands-on guidance and direction to data engineers and architects involved in the implementation of the data platform. Provide technical expertise and resolve complex technical challenges to ensure successful delivery of data engineering projects. Ensure the quality and integrity of the data platform by defining and enforcing best practices, standards, and guidelines for data engineering processes and workflows. Conduct code reviews, performance optimizations, and quality assurance checks to maintain high standards of data engineering excellence.Mentoring: Manage a team of 100+ Data Engineers, Data Architects and directly mentor a team of 12 Data Architects.Pre-Sales: Handled some of the large RFP responses and solutions as per business need.

Education

• JNTUH College of Engineering Hyderabad

  Bachelor of Technology - BTech, Electrical and Electronics Engineering