Vinay Gajula
Senior Aws Data Engineer @Walgreens Boots Alliance
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WORK HISTORY
Senior Aws Data Engineer @Walgreens Boots Alliance
Deerfield, IL, US
As a seasoned Senior AWS Data Engineer at Walgreens Boots in Deerfield, IL, since May 2020, I have led the design and implementation of cutting-edge analytical solutions using AWS cloud services, including EC2, EMR, Lambda, S3, RDS, and more. My responsibilities include optimizing Spark applications for high performance, configuring and managing Azure Synapse environments, and leveraging Lakehouse architecture to streamline data workflows, enhance processing efficiency, and reduce redundancy. I have spearheaded the migration of legacy data architectures to Lakehouse-based solutions, collaborated with cross-functional teams to design scalable data models, and utilized Synapse Studio for workflow optimization.My expertise includes developing data processing applications using Java, optimizing ETL processes with PySpark in AWS Glue, and building efficient pipelines in Python for Snowflake data warehouses. Additionally, I have managed and maintained Azure Data Lake Storage (ADLS) environments, implemented real-time data processing with Azure Databricks, and provided strategic technical guidance on best practices for data workflows.I bring hands-on experience in container orchestration with Docker and Kubernetes, CI/CD pipeline automation using Jenkins, and optimizing Tableau reports for enhanced performance. My achievements include implementing Row-Level Security (RLS) in Snowflake, integrating SSIS for seamless database interfacing, and creating scalable solutions that align with business objectives. With a strong focus on scalability, efficiency, and future-proofing data infrastructure, my work ensures robust support for the organization’s evolving data and analytics needs.
EDUCATION
JNTUH College of Engineering Hyderabad
Bachelor of Technology - BTech, Computer Science
Trine University
Master's degree, Information Science/Studies
ABOUT VINAY GAJULA
As a Senior Data Engineer with over nine years of experience, I bring expertise in designing and implementing scalable, cloud-based data architectures using Azure and AWS platforms. My technical proficiency spans big data technologies like Apache Spark, Hive, Kafka, and HDFS, enabling me to develop, optimize, and maintain complex ETL pipelines and real-time data processing systems. Skilled in SQL, Python, Java, and Scala, I have successfully led data migration projects, implemented Lakehouse architectures, and delivered innovative solutions for diverse business domains.In my current role, I drive data-driven decision-making by leading cross-functional teams to create impactful insights. I specialize in optimizing Spark applications, managing data warehousing environments in Snowflake and Azure Synapse, and leveraging serverless architectures to improve scalability and efficiency. Passionate about innovation, I continuously adopt emerging technologies like machine learning and Gen AI to tackle complex data challenges, streamline workflows, and propel organizational success.
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