Data is now part of a much bigger process when we think about competition. It is not simply about managing a database. It is about creating environments that give us an edge. “Big Data” per se, is what started this whole process. It is when technology decided to expand how much insights it has available to produce, comprehend, or react to consumer behavior. That’s why as a Data Architect, my career accomplishments demonstrate comprehensive expertise in managing database programs, extracting and evaluating sophisticated data, and translating results into understandable terms to inform strategic business planning and facilitate improved operations.

Through my background, i am versed in developing Data warehouse applications using Azure, AWS, Snowflake, GCP, Teradata, Hadoop, Informatica, Oracle, SAP HANA on UNIX and Windows platforms while creating complex mappings utilizing various transformations and developing strategies for Extraction, Transformation, and Loading (ETL) mechanism by using ADF, Data Bricks, Alteryx, Amazon Glue, SSIS & Informatica. I also possess functional knowledge of various tools and technologies, including Programming Languages, Databases & Data Modelling, Azure, ETL Tools, DevOps and AWS.

A brief synopsis of my notable qualifications denote:
• Piloted the design, development, and optimize super complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications.
• Review and analyze existing data models responsible for enhancing existing logical and physical data models to accommodate the new data requirements using Data warehousing, Business Intelligence, and Data Mapping/Modeling techniques.

My background offers expertise in both the technology and business side of the organization, resulting in the ability to communicate with business partners to identify and resolve process gaps, leading to increased performance.

Signature Strengths:
• Cloud Computing
• Database Management
• Data Warehousing
• Data Architecture
• Product Lifecycle Management
• Software Engineering
• Data Analytics
• Advanced Data Analytics
• Real Time Analytics
• Operations Management
• Software Architecture
• Data Processing
• Continuous Process Improvement
• Product Design
• Strategic Visioning & Tactical Execution
• Data Management
• Data Transformation
• Root Cause Analysis
• Time Management

YouTube Channel: https://www.youtube.com/c/PraveenBorra

Google Scholar: https://scholar.google.com/citations?user=okZta_4AAAAJ&hl=en

Research Gate: https://www.researchgate.net/profile/Praveen-Borra

Education:

• PhD in Computer Science (In progress) – Florida Atlantic University, Boca Raton, FL
• Master of Science in Computer Science – New Mexico Highlands University, Las Vegas, NM
• Bachelor of Technology in Electronics & Instrument Engineering – ANU, Guntur, AP, India

Certifications:

• AWS Certified Cloud Practitioner
• Azure Certified (Multiple certifications including Azure Administrator, Solution Architect, Data Engineer)
• Teradata Certified Professional
• SAS Certified Associate

Articles:

• Praveen Borra, An Overview of Cloud Computing and Leading Cloud Service Providers, International Journal of Computer Engineering and Technology (IJCET), 15(3), 2024, pp. 122-133.
• Praveen Borra, Comparison and Analysis of Leading Cloud Service Providers (AWS, Azure, and GCP), International Journal of Advanced Research in Engineering and Technology (IJARET), 15(3), 2024, pp. 266-278
• Praveen Borra, Evaluation of Top Cloud Service Providers Bi Tools: A Comparison of Amazon Quicksight, Microsoft Power BI, and Google Looker, International Journal of Computer Engineering and Technology (IJCET), 15(3), 2024, pp. 150-156.
• Praveen Borra, Comparative Review: Top Cloud Service Providers ETL tools – AWS vs. Azure vs. GCP, InternationalJournal of Computer Engineering and Technology (IJCET), 15(3), 2024, pp. 203-208.
• Praveen Borra, Microsoft Fabric Review: Exploring Microsoft’s New Data Analytics Platform, International Journal of Computer Science and Information Technology Research (IJCSITR), 12(2), 2024, pp.34-39.
• Praveen BorraAdvancing Data Science and AI with Azure Machine Learning: A Comprehensive Review, International Journal of Research Publication and Reviews 5 (6), 1825-1831
• Praveen Borra, Advancing Artificial Intelligence with AWS Machine Learning: A Comprehensive Overview, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
• Praveen Borra, Snowflake: A Comprehensive Review of a Modern Data Warehousing Platform, International Journal of Computer Science and Information Technology Research (IJCSITR)
• Praveen Borra “Securing Cloud Infrastructure: An In-Depth Analysis of Microsoft Azure Security”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 4, no. 2, pp. 549 – 555, 2024.
• Praveen Borra “Maximizing Efficiency and Collaboration with Microsoft Azure DevOps”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 4, no. 2, pp. 556 – 562, 2024.
• Praveen Borra “Exploring Microsoft Azure’s Cloud Computing: A Comprehensive Assessment”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 2, no. 8, pp. 897 – 906, 2022.
• Praveen Borra “The Evolution and Impact of Google Cloud Platform in Machine Learning and AI” ,International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) ,vol. 4, no. 3, pp. 72 – 77, 2024.

Books:

• Praveen Borra, Azure Top Interview Questions and Answers, Format Kindle Edition, May 8, 2021.
• Praveen Borra, Azure Fundamentals (AZ-900 Exam), Format Kindle Edition –Jan 18, 2023.

Honors & Awards:

• Recognized as an Outstanding Student.
• Received the Dr. C. V. Raman Excellence in Education Awards in 2024.