Ravi Kiran Pagidi
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About
Ravi Kiran Pagidi is a Senior Data Engineer with over 11 years of expertise in data engineering, architecture, and business intelligence solutions. Currently at GEICO, he leads the development of a telematics data processing pipeline using Azure technologies, achieving a 40% reduction in processing time. His proficiency spans various Azure services, including Data Lake, Synapse Analytics, and Event Hub, as well as data processing frameworks like Apache Spark and Databricks.
Previously, he has held senior positions at FedEx Express, BPOST, and Kraft Heinz, where he designed and implemented complex ETL processes, collaborated with cross-functional teams, and optimized data workflows. Ravi’s strong analytical skills enable him to convert business requirements into effective data solutions, ensuring compliance and data integrity.
He holds a B.Tech in Information Technology and multiple certifications in Microsoft Azure and Databricks. A performance-driven leader, he has successfully managed teams and projects worth over $1 million, enhancing operational efficiency and mentoring junior engineers. Ravi is recognized for his contributions to critical projects that significantly improve client satisfaction and streamline data processes. His extensive knowledge of both cloud and on-premises environments positions him as a valuable asset in any data-driven organization.
Skills & Expertise
python
Databricks
SNOWFLAKE
Data Lake
SQL
Python
Oracle Database
sql
Business Intelligence
Big Data
Data Warehousing
Scala
Azure
Apache Spark
Airflow
Informatica
.NET Framework
Data Modeling
Azure Data Lake
Data Architecture
Azure Cloud Services
Databricks clusters
ETL/ELT Processes
Research Interests
Information Technology
Data Engineer
Data Engineering
Business intelligence
Apache Spark
Performance Optimization
Azure Cloud Services
Scalable Data Solutions
Telematics Data Processing
Real-Time Data Ingestion
CI/CD Automation
Connect With Me
Experience
Senior Data Engineer
- • Spearheaded the development and implementation of a robust telematics data processing pipeline using azure Event hub to ingest real time data streams efficiently. • Utilized Azure data bricks alongside Scala and python to design and build a scalable data processing framework, significantly reducing data processing time by 40%. • Implemented a robust data storage and auditing solution using Azure cosmos DB, ensuring data integrity and compliance with industry standards. • Led the CI/CD initiative, automating the deployment process for Azure data bricks and Azure data factory pipelines. • Successfully designed and executed POC projects to automate team functionalities resulting in improved operational efficiency. • Collaborated closely with data scientist, analysts, and other stakeholders to understand their requirements and ensure seamless integration of data solutions into business processes. • Proactively identified and addressed performance bottlenecks in the data processing pipeline, leading to a 25% improvement in overall system performance. • Leveraged snowflake as a data warehouse to create insightful Power BI reports, empowering stakeholders to make data driven decisions effectively. • Actively mentored junior team members, facilitating skills and development, and promoting culture of knowledge sharing within the team • Received recognition from the management for outstanding contributions to the successful completion of critical projects leading to increased client satisfaction.
Education
Jawaharlal Nehru Technological University, Hyderabad (JNTUH)
Certificates & Licenses (1)
Databricks Certified Data Engineer Associate
https://credentials.databricks.com/418b57fd-0529-4552-b46f-c2be60042b01#gs.f1aj3e
Awards & Achievements (2)
🏆 INSTA Award
Description
🏆 Bravo Zulu
Description
Role in Research Journals (5)
Editorial Board Member
IJCSP
Editorial Board Member
IJCSP
Editorial Board Member
IJCSP
Reviewer
IJCSP
IJCSP
Publications (1)
The rapid expansion of network traffic, driven by the proliferation of internet-connected devices and the growing demand for high-speed data transmission, has intensified the need for advanced network...
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