As a data engineer with over 6 years of experience, I specialize in architecting and implementing large-scale data solutions that enable businesses to leverage data for decision-making. My expertise spans Azure, AWS, and Informatica, where I build end-to-end ETL pipelines and real-time streaming applications to support data ingestion, transformation, and storage across cloud and on-prem environments. I have developed robust data architectures using tools like Azure Data Factory, AWS Glue, and Informatica PowerCenter, optimizing storage on platforms such as ADLS, S3, and Oracle to manage diverse data sources and ensure efficient data access. With strong skills in designing data warehousing solutions in Azure Synapse and Amazon Redshift, I support complex BI requirements with high-performance data models and schema designsI am experienced in implementing data governance, security, and compliance protocols with Azure Key Vault, Azure Purview, and AWS IAM, prioritizing data protection and access control. My role in data engineering extends to CI/CD automation with Azure DevOps, real-time monitoring with CloudWatch and Azure Monitor, and troubleshooting to ensure pipeline reliability and data integrity. I thrive in collaborative, cross-functional teams, working with Data Scientists, Analysts, and Architects to provide unified data insights that drive strategic decisions. Committed to innovation and continuous learning, I am passionate about enhancing data accessibility, governance, and resilience across enterprise environments.I am passionate about staying current with emerging technologies and continuously improving my skillset to contribute innovative solutions to complex problems.Lets Connect!
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Workfront Fusion DeveloperCapital OneTampa, Fl, Us -
Sr Data EngineerAstute Aug 2023 - PresentWith expertise in designing and implementing data pipelines, I unified data ingestion from on-prem databases, APIs, and cloud storage using Data Factory, AWS Kinesis, and Azure Synapse for high-efficiency data transformation and analytics. My experience includes optimizing storage across ADLS and S3, building cross-functional data warehousing systems in Azure Synapse and Amazon Redshift, and establishing rigorous data security with Azure Key Vault and AWS IAM. I have developed automated workflows in Azure Logic Apps, leveraged Spark on Azure Databricks and AWS EMR for processing, and implemented CI/CD pipelines with Azure DevOps to streamline deployments. Proficient in real-time monitoring using CloudWatch and Log Analytics, I designed data flows and ETL processes, integrated AWS Glue Data Catalog and Azure Purview for data governance, and maintained high-availability architectures. My work supports business intelligence and data accessibility, enhancing decision-making capabilities across teams. -
Data EngineerUnisys Jan 2022 - Dec 2022Reston, Virginia, United StatesWith strong expertise in Azure Data Factory (ADF), I designed and managed scalable data pipelines for ingesting, processing, and transforming large structured and unstructured datasets, optimizing ETL workflows with ADF, Azure Databricks, and Synapse Analytics. I implemented real-time data ingestion solutions using Azure Event Hubs, Stream Analytics, and IoT Hub, and optimized storage in ADLS with partitioning and lifecycle policies. My experience includes building complex data models, scalable data warehouses, and integrating data from multiple sources using ADF orchestration, enhancing performance with Synapse and Data Lake optimizations, and establishing security measures through Azure Key Vault and RBAC. With CI/CD pipeline deployment in Azure DevOps, real-time monitoring with Azure Monitor, and governance through Azure Purview, I maintained high standards of data accessibility, compliance, and reliability across environments -
Informatica DeveloperAccenture May 2018 - Dec 2021New Jersey, United StatesWith deep expertise in Informatica PowerCenter, I created and optimized ETL mappings for both initial and incremental loads, utilizing transformations like Source Qualifier, Lookup, and Aggregator for complex data warehousing needs. I designed star and snowflake schema data models, integrated diverse data sources (relational databases, flat files, legacy systems) into Oracle, and defined transformation rules to ensure data accuracy and consistency. Skilled in debugging and tuning, I streamlined workflows, managed batch load processes, and automated tasks with shell scripting across UNIX and Windows. Additionally, I utilized Informatica Repository Manager for workflow security, created reusable components, coordinated with QA for testing, and maintained rigorous data validation and backup schedules to support reliable analytics and data recovery. Provided production support, troubleshooted failures, included enhancing production support activities during extended hours and assisting the team with regular failures and their cloud-based solutions.
Pranavi Reddy Education Details
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Management Information Systems, General
Frequently Asked Questions about Pranavi Reddy
What company does Pranavi Reddy work for?
Pranavi Reddy works for Capital One
What is Pranavi Reddy's role at the current company?
Pranavi Reddy's current role is Workfront Fusion Developer.
What schools did Pranavi Reddy attend?
Pranavi Reddy attended University Of Tampa.
Who are Pranavi Reddy's colleagues?
Pranavi Reddy's colleagues are Alicia Zhao, Li Yang, Mohit Kashyap, Greg Bryant, Karla Farve, Rakesh B., Ayush Singhal.
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Pranavi Reddy
"Master'S In Medical Informatics | Bachelor'S In Nursing | Bridging Healthcare & Technology | Passionate About Data-Driven Health Solutions"Providence, Ri -
2gmail.com, jpmchase.com
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pranavi reddy
Salt Lake City, Ut
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