Praveen Samudrala
Data Engineer @Wipro
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WORK HISTORY
Data Engineer @Wipro
Toronto, ON, CA
EDUCATION
University of Ottawa
MEng Electrical and Computer Engineering concentration in Applied Artificial Intelligence
Vellore Institute of Technology
BTech - Bachelor of Technology
ABOUT PRAVEEN SAMUDRALA
Nearly 5 years of dedicated IT experience and 3 Years as an Azure Data engineer working with Azure Data Factory, Azure Synapse, Azure Databricks, and other data analytics platforms Experienced in retrieving various data from different Source Systems to Azure Data Lake, Azure SQL Database and validated, and manipulated data using Python, SQL Demonstrated experience in designing and building scalable Azure Data Pipelines and Synapse to solve complex business problems involving large-scale data warehousing, real-time data analytics and reporting Expertise in creating pipeline jobs, scheduling triggers, Mapping data flows using Azure Data Factory(V2), and using Azure Key Vaults to store credentials Professional with extensive expertise in Azure Blob Storage, specializing in the scalable and cost-effective management of unstructured data, from cloud-native applications to data archival solutions Experienced in developing notebooks using Pyspark, and SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the client usage patterns Experienced in migrating data and databases from on-prem infrastructure to the Azure data lake. Raw data is transferred to Azure Storage and processed by Azure Functions and Azure Data Bricks, and then stored in Azure SQL DB, Azure Synapse Well-versed with comprehensive data governance framework, establishing clear policies, procedures, and standards for data management throughout the organization. This framework served as the foundation for ensuring data accuracy, security, and compliance Developed ETL pipelines to automate data ingestion, and data transformation processes (such as extracting, cleansing, standardizing, and mapping data), and ensure client delivery Proven history in designing and implementing global data scalability strategies using Azure Cosmos DB, achieving 30% reduction in data access latency and 60% improvement in application performance for distributed user bases Driven data engineering design (data architecture, data modeling), execution (data mapping, ETL development), automation, and migration for structured and semi-structured data as part of data analytics products Exhibited effective communication skills and a keen understanding of project timelines and dependencies. Collaborator with excellent people skills, initiative-taking, dedication, and understanding Experienced in Agile and Scrum Methodologies and having good working techniques and participated in scrum meetings
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