Venkata Naga Murali Konatam

Results-driven IT professional with over 20 years of experience excelling in building robust data platforms and delivering impactful data products. Proven track record of leadership in data teams, collaboration with stakeholders, and strategic alignment with business objectives. Recognized for strong skills in data architecture, database design, performance optimization, data modeling, security, ETL, BI platforms, and data governance. Currently pursuing a postgraduate program in data science, machine learning, and artificial intelligence from a reputable university. Committed to leveraging a comprehensive skill set to drive innovation and elevate data-driven decision-making in dynamic organizational environments. Respected [Job Title] with history of creating system architectures that reduce costs and streamline operations. Ready to create design plans from whole cloth or tackle revamps of disparate networks full of outdated systems. Uses emerging and nascent technologies to create stress-free operations both on site and via remote locations and online.

Strategic Data Architecture and Modeling:

• Led development and implementation of robust data architecture for scalability and alignment with business objectives.

ETL and Integration Excellence:

• Designed and implemented successful ETL solutions using SSIS, SnapLogic, AWS Glue, and Azure ADFS.

BI Platform Innovation:

• Implemented end-to-end BI solutions with tools like AWS Quicksight, Google Looker, SSRS, and Power BI.

Data Governance Implementation:

• Spearheaded implementation and management of data governance processes for quality, integrity, and compliance.

Multi-Cloud Database Management:

• Demonstrated expertise in managing databases across AWS and Azure for consistency, security, and optimal performance.

Efficient Utilization of Integration Tools:

• Leveraged SnapLogic for efficient data integration between applications and sources.

Advanced Analytics and Reporting:

• Established a framework for advanced analytics using AWS Quicksight and Google Looker.

Adapting AI, ML and Data Science Technologies:

• Identified use cases and conducted hackathons and POCs to integrate AI and ML technologies.

Collaboration with Internal and External Stakeholders:

• Established successful partnerships with external vendors like AWS, Microsoft, Google, DeepKi, VTS, and others.